Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Machine Learning - Special issue on inductive transfer
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
A Trainable System for Object Detection
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A statistical approach to 3d object detection applied to faces and cars
A statistical approach to 3d object detection applied to faces and cars
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Object Recognition with Informative Features and Linear Classification
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust Real-Time Face Detection
International Journal of Computer Vision
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Coevolutionary feature synthesized EM algorithm for image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Building concept ontology for medical video annotation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Automatic function selection for large scale salient object detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Using natural class hierarchies in multi-class visual classification
Pattern Recognition
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sharing Visual Features for Multiclass and Multiview Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical classification for automatic image annotation
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Large-scale multimodal semantic concept detection for consumer video
Proceedings of the international workshop on Workshop on multimedia information retrieval
An incremental node embedding technique for error correcting output codes
Pattern Recognition
Foundations and Trends® in Computer Graphics and Vision
Generic object recognition with regional statistical models and layer joint boosting
Pattern Recognition Letters
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
From Aardvark to Zorro: A Benchmark for Mammal Image Classification
International Journal of Computer Vision
Describing Visual Scenes Using Transformed Objects and Parts
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Evaluation of Localized Semantics: Data, Methodology, and Experiments
International Journal of Computer Vision
3D Urban Scene Modeling Integrating Recognition and Reconstruction
International Journal of Computer Vision
Learning for accurate classification of real-time traffic
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Visual door detection integrating appearance and shape cues
Robotics and Autonomous Systems
Distinctive and compact features
Image and Vision Computing
Selecting features for object detection using an AdaBoost-compatible evaluation function
Pattern Recognition Letters
International Journal of Computer Vision
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
Boosted Bayesian network classifiers
Machine Learning
A Hierarchical Approach for Multi-task Logistic Regression
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Convex multi-task feature learning
Machine Learning
Context Driven Focus of Attention for Object Detection
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Illumination Invariant Face Detection Using Classifier Fusion
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
SemanGist: A Local Semantic Image Representation
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A fast data collection and augmentation procedure for object recognition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Sparse B-spline polynomial descriptors for human activity recognition
Image and Vision Computing
Boosted online learning for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Object detection using spatial histogram features
Image and Vision Computing
From Images to Shape Models for Object Detection
International Journal of Computer Vision
Building a distributed robot garden
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
On selection and combination of weak learners in AdaBoost
Pattern Recognition Letters
Learning-based object tracking using boosted features and appearance-adaptive models
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
New approach for hierarchical classifier training and multi-level image annotation
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Structured max-margin learning for multi-label image annotation
Proceedings of the ACM International Conference on Image and Video Retrieval
Novel boosting framework for subunit-based sign language recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A novel learning approach to multiple tasks based on boosting methodology
Pattern Recognition Letters
Indoor robot gardening: design and implementation
Intelligent Service Robotics
Leveraging loosely-tagged images and inter-object correlations for tag recommendation
Proceedings of the international conference on Multimedia
S3MKL: scalable semi-supervised multiple kernel learning for image data mining
Proceedings of the international conference on Multimedia
Semantic label sharing for learning with many categories
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
From region based image representation to object discovery and recognition
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
What, where and how many? combining object detectors and CRFs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Visual recognition with humans in the loop
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Attribute-based transfer learning for object categorization with zero/one training example
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Boosting chamfer matching by learning chamfer distance normalization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Original paper: Scale invariant feature approach for insect monitoring
Computers and Electronics in Agriculture
A conditional random field model for image parsing
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Efficient large-scale image data set exploration: visual concept network and image summarization
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Recognition of digital modulations based on mathematical classifier
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Inference scene labeling by incorporating object detection with explicit shape model
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Scalable triangulation-based logo recognition
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model
International Journal of Computer Vision
Self-tuned Evolution-COnstructed features for general object recognition
Pattern Recognition
Efficient use of geometric constraints for sliding-window object detection in video
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
QBoost: Predicting quantiles with boosting for regression and binary classification
Expert Systems with Applications: An International Journal
The machine knows what you are hiding: an automatic micro-expression recognition system
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Orientation invariant features for multiclass object recognition
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Learning by integrating information within and across fixations
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Learning to detect objects of many classes using binary classifiers
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Sharing visual features for animal categorization: an empirical study
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Toward a unified probabilistic framework for object recognition and segmentation
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Histogram features-based fisher linear discriminant for face detection
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Boosting for transfer learning from multiple data sources
Pattern Recognition Letters
Object localization with boosting and weak supervision for generic object recognition
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Incorporating geometry information with weak classifiers for improved generic visual categorization
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Generating visual concept network from large-scale weakly-tagged images
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Image-Based grasping point detection using boosted histograms of oriented gradients
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Online multiple instance gradient feature selection for robust visual tracking
Pattern Recognition Letters
Tracking-based semi-supervised learning
International Journal of Robotics Research
Compact hashing for mixed image-keyword query over multi-label images
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Functional gradient ascent for Probit regression
Pattern Recognition
Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction
International Journal of Computer Vision
Introducing the Discriminative Paraconsistent Machine (DPM)
Information Sciences: an International Journal
Latent hough transform for object detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Achievements and challenges in recognizing and reconstructing civil infrastructure
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
A relational kernel-based framework for hierarchical image understanding
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Recognizing hand gestures using the weighted elastic graph matching (WEGM) method
Image and Vision Computing
Object class detection: A survey
ACM Computing Surveys (CSUR)
HEGM: A hierarchical elastic graph matching for hand gesture recognition
Pattern Recognition
Mixed image-keyword query adaptive hashing over multilabel images
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An integrative approach to accurate vehicle logo detection
Journal of Electrical and Computer Engineering
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We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, which can be slow and require much training data. We present a multi-class boosting procedure (joint boosting) that reduces both the computational and sample complexity, by finding common features that can be shared across the classes. The detectors for each class are trained jointly, rather than independently. For a given performance level, the total number of features required is observed to scale approximately logarithmically with the number of classes. In addition, we find that the features selected by independently trained classifiers are often specific to the class, whereas the features selected by the jointly trained classifiers are more generic features, such as lines and edges.