The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
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A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Efficient learning with virtual threshold gates
Information and Computation
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
An Affine Invariant Interest Point Detector
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Corner Detection in Color Images by Multiscale Combination of End-Stopped Cortical Cells
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Ridge's corner detection and correspondence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Probablistic Affine Invariants for Recognition
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Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Improving Appearance-Based Object Recognition in Cluttered Backgrounds
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognition with Local Features: the Kernel Recipe
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
Object Recognition Using Segmentation for Feature Detection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Learning methods for generic object recognition with invariance to pose and lighting
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Constant tangential angle elected interest points
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Interpretability based interest points detection
Proceedings of the 6th ACM international conference on Image and video retrieval
Foundations and Trends® in Computer Graphics and Vision
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Features for image retrieval: an experimental comparison
Information Retrieval
Object recognition and segmentation in videos by connecting heterogeneous visual features
Computer Vision and Image Understanding
An intelligent fitting room using multi-camera perception
Proceedings of the 13th international conference on Intelligent user interfaces
Identifying relevant frames in weakly labeled videos for training concept detectors
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
International Journal of Computer Vision
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
Pattern Recognition Letters
Learning Distance Functions for Automatic Annotation of Images
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Improving the SIFT descriptor with smooth derivative filters
Pattern Recognition Letters
Boosting relative spaces for categorizing objects with large intra-class variation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Weakly Supervised Object Localization with Stable Segmentations
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Learning non-redundant codebooks for classifying complex objects
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Object-based Place Recognition for Mobile Robots Using Panoramas
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Foreground Focus: Unsupervised Learning from Partially Matching Images
International Journal of Computer Vision
Interactive objects retrieval with efficient boosting
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Unsupervised Object Discovery from Images by Mining Local Features Using Hashing
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Efficient Object Pixel-Level Categorization Using Bag of Features
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Learning disease severity for capsule endoscopy images
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A binary classification and online vision
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Structural descriptors for category level object detection
IEEE Transactions on Multimedia
Ensemble for high recognition performance FPGA
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
PSO versus AdaBoost for feature selection in multimodal biometrics
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
On selection and combination of weak learners in AdaBoost
Pattern Recognition Letters
Snap2Play: a mixed-reality game based on scene identification
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Generic object recognition using boosted combined features
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Learning-based license plate detection in vehicle image database
International Journal of Intelligent Information and Database Systems
A multi-scale learning approach for landmark recognition using mobile devices
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Detecting and extracting the photo composites using planar homography and graph cut
IEEE Transactions on Information Forensics and Security
Dictionary learning based object detection and counting in traffic scenes
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Interactive learning of heterogeneous visual concepts with local features
Proceedings of the international conference on Multimedia
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Towards optimal naive bayes nearest neighbor
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Multi-stage sampling with boosting cascades for pedestrian detection in images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Real-Time Object Segmentation Using a Bag of Features Approach
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
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Boosting histograms of descriptor distances for scalable multiclass specific scene recognition
Image and Vision Computing
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Interpretable visual models for human perception-based object retrieval
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Improved support vector machines with distance metric learning
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Implicit scene context for object segmentation and classification
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Improvements in image categorization using codebook ensembles
Image and Vision Computing
Human-centric design personalization of 3D glasses frame in markerless augmented reality
Advanced Engineering Informatics
Sparse patch-histograms for object classification in cluttered images
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Properties of patch based approaches for the recognition of visual object classes
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Adaptive visual regions categorization with sets of points of interest
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Accurate Object Recognition with Shape Masks
International Journal of Computer Vision
A novel visual organization based on topological perception
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Visual classification of images by learning geometric appearances through boosting
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Making image to class distance comparable
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
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
Beyond trees: adopting MITI to learn rules and ensemble classifiers for multi-instance data
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Object recognition using discriminative parts
Computer Vision and Image Understanding
Sketch-editing games: human-machine communication, game theory and applications
Proceedings of the 25th annual ACM symposium on User interface software and technology
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ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Per-patch descriptor selection using surface and scene properties
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Randomness and sparsity induced codebook learning with application to cancer image classification
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
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ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Multiple instance classification: Review, taxonomy and comparative study
Artificial Intelligence
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Pattern Recognition
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Journal of Signal Processing Systems
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International Journal of Computer Vision
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This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of either discontinuity or homogeneity. A variety of local descriptors can be applied to form a set of feature vectors for each local region. Boosting is used to learn a subset of such feature vectors (weak hypotheses) and to combine them into one final hypothesis for each visual category. This combination of individual extractors and descriptors leads to recognition rates that are superior to other approaches which use only one specific extractor/descriptor setting. To explore the limitation of our system, we had to set up new, highly complex image databases that show the objects of interest at varying scales and poses, in cluttered background, and under considerable occlusion. We obtain classification results up to 81 percent ROC-equal error rate on the most complex of our databases. Our approach outperforms all comparable solutions on common databases.