Improved Boosting Algorithms Using Confidence-rated Predictions

Authors:
Robert E. Schapire;Yoram Singer
Affiliations:
AT&T Labs, Shannon Laboratory, 180 Park Avenue, Room A279, Florham Park, NJ 07932-0971, USA. schapire@research.att.com;AT&T Labs, Shannon Laboratory, 180 Park Avenue, Room A277, Florham Park, NJ 07932-0971, USA. singer@research.att.com
Venue:
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Year:
1999

Citing 19
Cited 491

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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Computational analysis of HRCT images for characterization and differentiation of ILD and COPD

ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Semantic role labeling as sequential tagging

CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic role labeling using complete syntactic analysis

CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Traffic sign recognition system with β -correction

Machine Vision and Applications
Pairwise boosted audio fingerprint

IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Machine learning despite unknown classes

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A boosted semi-supervised learning framework for web page filtering

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Online signature verification algorithm with a user-specific global-parameter fusion model

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Designing Model Based Classifiers by Emphasizing Soft Targets

Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Learning to integrate web taxonomies

Web Semantics: Science, Services and Agents on the World Wide Web
Boosting by weighting critical and erroneous samples

Neurocomputing
Modelling human perception of static facial expressions

Image and Vision Computing
Dynamic Adaboost learning with feature selection based on parallel genetic algorithm for image annotation

Knowledge-Based Systems
Committees of Adaboost ensembles with modified emphasis functions

Neurocomputing
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost

The Journal of Machine Learning Research
Learning Halfspaces with Malicious Noise

The Journal of Machine Learning Research
Discretizing continuous attributes in AdaBoost for text categorization

ECIR'03 Proceedings of the 25th European conference on IR research
Averaged boosting: a noise-robust ensemble method

PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
An empirical comparison of three boosting algorithms on real data sets with artificial class noise

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
The beneficial effects of using multi-net systems that focus on hard patterns

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A sequential scheduling approach to combining multiple object classifiers using cross-entropy

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Good error correcting output codes for adaptive multiclass learning

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
New boosting algorithms for classification problems with large number of classes applied to a handwritten word recognition task

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Segmentation of sub-cortical structures by the graph-shifts algorithm

IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
2D-3D-based on-board pedestrian detection system

Computer Vision and Image Understanding
Topology modeling for Adaboost-cascade based object detection

Pattern Recognition Letters
Multiview pedestrian detection based on vector boosting

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A theoretical approach to construct highly discriminative features with application in AdaBoost

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A cascade of feed-forward classifiers for fast pedestrian detection

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Learning a fast emulator of a binary decision process

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Cascade of classifiers for vehicle detection

ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Real-time hand gesture detection and recognition using boosted classifiers and active learning

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Improving boosting by exploiting former assumptions

MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings

Pattern Recognition
Analysis of joint inference strategies for the semantic role labeling of Spanish and Catalan

CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Improving image annotation via representative feature vector selection

Neurocomputing
A fast face detection method based on improved sample selection

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
A reconfigurable architecture for rotation invariant multi-view face detection based on a novel two-stage boosting method

EURASIP Journal on Advances in Signal Processing
FEA-Accu cascade for face detection

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Face detection through compact classifier using adaptive look-up-table

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
License plate detection algorithm based on gentle AdaBoost algorithm with a cascade structure

ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Learning Robust Similarity Measures for 3D Partial Shape Retrieval

International Journal of Computer Vision
Coevolution in a large search space using resource-limited nash memory

Proceedings of the 12th annual conference on Genetic and evolutionary computation
ENDER: a statistical framework for boosting decision rules

Data Mining and Knowledge Discovery
Multilabel classification with meta-level features

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Boosting with structure information in the functional space: an application to graph classification

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Deformation of log-likelihood loss function for multiclass boosting

Neural Networks
A novel learning approach to multiple tasks based on boosting methodology

Pattern Recognition Letters
A database-based framework for gesture recognition

Personal and Ubiquitous Computing
An integrated music video browsing system for personalized television

Expert Systems with Applications: An International Journal
Emotion detection in email customer care

CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Automatic image-based assessment of lesion development during hemangioma follow-up examinations

Artificial Intelligence in Medicine
Edited AdaBoost by weighted kNN

Neurocomputing
Improving graph-walk-based similarity with reranking: Case studies for personal information management

ACM Transactions on Information Systems (TOIS)
Learning local features for age estimation on real-life faces

Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Complex feature alternating decision tree

International Journal of Intelligent Systems Technologies and Applications
Semi-supervised ranking for document retrieval

Computer Speech and Language
Undersampling approach for imbalanced training sets and induction from multi-label text-categorization domains

PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
Handling missing features with boosting algorithms for protein-protein interaction prediction

DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Multi-class classification on Riemannian manifolds for video surveillance

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Part-based feature synthesis for human detection

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
A structural filter approach to human detection

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Almost random projection machine with margin maximization and kernel features

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Wheelchair detection using cascaded decision tree

IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Learning graphical models for hypothesis testing and classification

IEEE Transactions on Signal Processing
Feature-centric evaluation for efficient cascaded object detection

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
BoostMap: a method for efficient approximate similarity rankings

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Framework for research on detection classifiers

Proceedings of the 24th Spring Conference on Computer Graphics
Efficient HOG human detection

Signal Processing
Classification and Semantic Mapping of Urban Environments

International Journal of Robotics Research
Robust class similarity measure for traffic sign recognition

IEEE Transactions on Intelligent Transportation Systems
Fast rotation invariant multi-view face detection based on real adaboost

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Adaboost with totally corrective updates for fast face detection

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

The Journal of Machine Learning Research
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach

The Journal of Machine Learning Research
A human detection system for proxemics interaction

Proceedings of the 6th international conference on Human-robot interaction
Local fractal and multifractal features for volumic texture characterization

Pattern Recognition
A multi-objective optimisation approach for class imbalance learning

Pattern Recognition
Human pose estimation using exemplars and part based refinement

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Human detection in video over large viewpoint changes

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Multi-class leveraged k-NN for image classification

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Real-time human detection using relational depth similarity features

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Totally-corrective multi-class boosting

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Combining bagging, boosting, rotation forest and random subspace methods

Artificial Intelligence Review
Predicate Logic Based Image Grammars for Complex Pattern Recognition

International Journal of Computer Vision
AdaBoost classifiers for pecan defect classification

Computers and Electronics in Agriculture
Robust real-time multi-user pupil detection and tracking under various illumination and large-scale head motion

Computer Vision and Image Understanding
Boosted multi-class semi-supervised learning for human action recognition

Pattern Recognition
Gender discriminating models from facial surface normals

Pattern Recognition
Generic object class detection using feature maps

SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis

Speech Communication
Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI

Computers in Biology and Medicine
Detection performance evaluation of boosted random ferns

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Handwritten digits recognition improved by multiresolution classifier fusion

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Comprehensive PMML preprocessing in KNIME

Proceedings of the 2011 workshop on Predictive markup language modeling
Hand shape classification with a wrist contour sensor: development of a prototype device

Proceedings of the 13th international conference on Ubiquitous computing
A new ensemble-based cascaded framework for multiclass training with simple weak learners

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
A robust ranking methodology based on diverse calibration of AdaBoost

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Tracking concept change with incremental boosting by minimization of the evolving exponential loss

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
ShareBoost: boosting for multi-view learning with performance guarantees

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Analysis of wear debris through classification

ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Real-time object detection on CUDA

Journal of Real-Time Image Processing
Improvement of a traffic sign detector by retrospective gathering of training samples from in-vehicle camera image sequences

ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Cloosting: clustering data with boosting

MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Incorporating label dependency into the binary relevance framework for multi-label classification

Expert Systems with Applications: An International Journal
Risk function estimation for subproblems in a hierarchical classifier

Pattern Recognition Letters
Boosting systems for large vocabulary continuous speech recognition

Speech Communication
Query sampling for learning data fusion

Proceedings of the 20th ACM international conference on Information and knowledge management
Advances in boosting

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Context guided and personalized activity classification system

Proceedings of the 2nd Conference on Wireless Health
An experimental study of boosting model classifiers for chinese text categorization

ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Boosting feature selection

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Empirical study on weighted voting multiple classifiers

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Aggregating regressive estimators: gradient-based neural network ensemble

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Smooth boosting using an information-based criterion

ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Gender classification of faces using adaboost

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Boosting in PN spaces

ECML'06 Proceedings of the 17th European conference on Machine Learning
Magnitude and phase spectra of foot motion for gait recognition

CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
InfoBoost for selecting discriminative gabor features

CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Example based non-rigid shape detection

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Online multiple object tracking by hierarchical association of detection responses

Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Frequent subsequence-based protein localization

BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data

MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Ensemble LDA for face recognition

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Leveraging k-NN for generic classification boosting

Neurocomputing
Shedding light on the asymmetric learning capability of AdaBoost

Pattern Recognition Letters
Learning local binary patterns for gender classification on real-world face images

Pattern Recognition Letters
Segmentation and labeling of face images for electronic documents

Expert Systems with Applications: An International Journal
Learning from pairwise constraints by Similarity Neural Networks

Neural Networks
Fuzzy model tuning for intrusion detection systems

ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
MP-Boost: a multiple-pivot boosting algorithm and its application to text categorization

SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
TreeBoost.MH: a boosting algorithm for multi-label hierarchical text categorization

SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Histogram features-based fisher linear discriminant for face detection

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Ensemble learning for keyphrases extraction from scientific document

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Hellinger distance decision trees are robust and skew-insensitive

Data Mining and Knowledge Discovery
A joint system for person tracking and face detection

ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Boosting for transfer learning from multiple data sources

Pattern Recognition Letters
Observations on boosting feature selection

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Recursive ECOC for microarray data classification

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Knowledge-Based sampling for subgroup discovery

LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Parameter inference of cost-sensitive boosting algorithms

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Loss bounds for online category ranking

COLT'05 Proceedings of the 18th annual conference on Learning Theory
Incorporating geometry information with weak classifiers for improved generic visual categorization

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Vision-Based face understanding technologies and their applications

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Palmprint classification using wavelets and adaboost

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Predicting protein-peptide binding affinity by learning peptide-peptide distance functions

RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Fast classification with neural networks via confidence rating

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Johnny: An Autonomous Service Robot for Domestic Environments

Journal of Intelligent and Robotic Systems
Using a boosted tree classifier for text segmentation in hand-annotated documents

Pattern Recognition Letters
Image-Set based face recognition using boosted global and local principal angles

ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Coupling adaboost and random subspace for diversified fisher linear discriminant

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Robust face alignment based on hierarchical classifier network

ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Learning and evaluation in the presence of class hierarchies: application to text categorization

AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Generalized unified decomposition of ensemble loss

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Linear methods for reduction from ranking to multilabel classification

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Pedestrian image segmentation via shape-prior constrained random walks

PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Efficient object-class recognition by boosting contextual information

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Gabor feature selection for face recognition using improved adaboost learning

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Reduction from cost-sensitive ordinal ranking to weighted binary classification

Neural Computation
Importance weighted adarank

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
A review of recent advances in 3D ear- and expression-invariant face biometrics

ACM Computing Surveys (CSUR)
MULTIBOOST: a multi-purpose boosting package

The Journal of Machine Learning Research
A primal-dual convergence analysis of boosting

The Journal of Machine Learning Research
Robust face detection using local gradient patterns and evidence accumulation

Pattern Recognition
Bootstrapping Boosted Random Ferns for discriminative and efficient object classification

Pattern Recognition
An Improved Branch-and-Bound Method for Maximum Monomial Agreement

INFORMS Journal on Computing
Boosting GARCH and neural networks for the prediction of heteroskedastic time series

Mathematical and Computer Modelling: An International Journal
2011 Special Issue: LVQ algorithm with instance weighting for generation of prototype-based rules

Neural Networks
A boosting approach for supervised Mahalanobis distance metric learning

Pattern Recognition
The build of n-Bits Binary Coding ICBP Ensemble System

Neurocomputing
Segmentation of objects in a detection window by Nonparametric Inhomogeneous CRFs

Computer Vision and Image Understanding
Boosted human re-identification using Riemannian manifolds

Image and Vision Computing
Face-based multiple instance analysis for smart electronics billboard

Multimedia Tools and Applications
Multi-label hypothesis reuse

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
SDAI: An integral evaluation methodology for content-based spam filtering models

Expert Systems with Applications: An International Journal
A noise-detection based AdaBoost algorithm for mislabeled data

Pattern Recognition
Hierarchical linear support vector machine

Pattern Recognition
Boosted translation-tolerable classifiers for fast object detection

Image and Vision Computing
Designing Model Based Classifiers by Emphasizing Soft Targets

Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers

ACM Transactions on Information Systems (TOIS)
ADANET: inferring gene regulatory networks using ensemble classifiers

Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Boosting k-NN for Categorization of Natural Scenes

International Journal of Computer Vision
Using LazyBoosting for word sense disambiguation

SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Two systems for automatic music genre recognition: what are they really recognizing?

Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Demographic classification with local binary patterns

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Efficient and accurate face detection using heterogeneous feature descriptors and feature selection

Computer Vision and Image Understanding
Peer-to-peer multi-class boosting

Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Learning to efficiently detect repeatable interest points in depth data

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
A robust and efficient doubly regularized metric learning approach

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Flow counting using realboosted multi-sized window detectors

ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Embedding monte carlo search of features in tree-based ensemble methods

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Boosting nearest neighbors for the efficient estimation of posteriors

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Learning multiple tasks with boosted decision trees

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
RETRACTED: Sentiment Analysis in Decision Sciences Research: An Illustration to IT Governance

Decision Support Systems
Global reweighting and weight vector based strategy for multiclass boosting

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
A survey of cost-sensitive decision tree induction algorithms

ACM Computing Surveys (CSUR)
Learning saliency-based visual attention: A review

Signal Processing
Reducing overfitting of AdaBoost by clustering-based pruning of hard examples

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Coarse-to-fine multiclass learning and classification for time-critical domains

Pattern Recognition Letters
A learning system for discriminating variants of malicious network traffic

Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop
An analysis of a spatial EA parallel boosting algorithm

Proceedings of the 15th annual conference on Genetic and evolutionary computation
Grouping active contour fragments for object recognition

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Fast training of effective multi-class boosting using coordinate descent optimization

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Detecting changes in images of street scenes

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Boosting regression methods based on a geometric conversion approach: Using SVMs base learners

Neurocomputing
Confidence-based multiclass AdaBoost for physical activity monitoring

Proceedings of the 2013 International Symposium on Wearable Computers
Robust facial expressions recognition using 3D average face and ameliorated adaboost

Proceedings of the 21st ACM international conference on Multimedia
A theory of multiclass boosting

The Journal of Machine Learning Research
Multi-instance learning with any hypothesis class

The Journal of Machine Learning Research
Double-base asymmetric AdaBoost

Neurocomputing
Recognition of offline handwritten numerals using an ensemble of MLPs combined by Adaboost

Proceedings of the 4th International Workshop on Multilingual OCR
An efficient probabilistic framework for multi-dimensional classification

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Recommendation of programming activities by multi-label classification for a formative assessment of students

Expert Systems with Applications: An International Journal
Models of recognition procedures with logical correctors

Pattern Recognition and Image Analysis
Improving Text Classification Accuracy by Training Label Cleaning

ACM Transactions on Information Systems (TOIS)
Smoothed emphasis for boosting ensembles

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air

International Journal of Knowledge Discovery in Bioinformatics
Detecting pedestrians on a Movement Feature Space

Pattern Recognition
Line filtering for surgical tool localization in 3D ultrasound images

Computers in Biology and Medicine
Fully corrective boosting with arbitrary loss and regularization

Neural Networks
An Embedded Co-AdaBoost based construction of software document relation coupled resource spaces for cyber-physical society

Future Generation Computer Systems
The rate of convergence of AdaBoost

The Journal of Machine Learning Research
Multi-class boosting with asymmetric binary weak-learners

Pattern Recognition
A rule-based event detection system for real-life underwater domain

Machine Vision and Applications
Learning to resize image

Neurocomputing
Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers

Machine Learning
Classification accuracy is not enough

Journal of Intelligent Information Systems
Pedestrian detection in far infrared images

Integrated Computer-Aided Engineering
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains

Intelligent Data Analysis
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification

Intelligent Data Analysis
Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics

Machine Vision and Applications

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Abstract

We describe several improvements to Freund and Schapire‘s AdaBoost boosting algorithm, particularly in a setting in which hypotheses mayassign confidences to each of their predictions. We give a simplifiedanalysis of AdaBoost in this setting, and we show how this analysiscan be used to find improved parameter settings as well as a refinedcriterion for training weak hypotheses. We give a specific method forassigning confidences to the predictions of decision trees, a methodclosely related to one used by Quinlan. This method also suggests atechnique for growing decision trees which turns out to be identical toone proposed by Kearns and Mansour.We focus next on how to apply the new boosting algorithms to multiclassclassification problems, particularly to the multi-label case in whicheach example may belong to more than one class. We give two boostingmethods for this problem, plus a third method based on output coding.One of these leads to a new method for handlingthe single-label case which is simpler but as effective as techniquessuggested by Freund and Schapire. Finally, we give some experimentalresults comparing a few of the algorithms discussed in this paper.