Wire length as a circuit complexity measure
Journal of Computer and System Sciences
Boosted decision trees for word recognition in handwritten document retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Receptive Field Structures for Recognition
Neural Computation
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Images, Frames, and Connectionist Hierarchies
Neural Computation
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
Automatic function selection for large scale salient object detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Invariant salient regions based image retrieval under viewpoint and illumination variations
Journal of Visual Communication and Image Representation
Segmentation and description of natural outdoor scenes
Image and Vision Computing
Computer Vision and Image Understanding
Sharing Visual Features for Multiclass and Multiview Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated patch model: A generative model for image categorization based on feature selection
Pattern Recognition Letters
POP: Patchwork of Parts Models for Object Recognition
International Journal of Computer Vision
Foundations and Trends® in Computer Graphics and Vision
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Learning to Locate Informative Features for Visual Identification
International Journal of Computer Vision
Efficient Learning of Relational Object Class Models
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Distinctive and compact features
Image and Vision Computing
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
The initial development of object knowledge by a learning robot
Robotics and Autonomous Systems
Multi-layer boosting for pattern recognition
Pattern Recognition Letters
Structure Is a Visual Class Invariant
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Improving Recognition through Object Sub-categorization
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
The quantitative characterization of the distinctiveness and robustness of local image descriptors
Image and Vision Computing
Autonomous development of a grounded object ontology by a learning robot
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A binary classification and online vision
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Object detection using spatial histogram features
Image and Vision Computing
IEEE Transactions on Multimedia
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning
International Journal of Computer Vision
Tutor-based learning of visual categories using different levels of supervision
Computer Vision and Image Understanding
A knowledge synthesizing approach for classification of visual information
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Vlfeat: an open and portable library of computer vision algorithms
Proceedings of the international conference on Multimedia
Automatic attribute discovery and characterization from noisy web data
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
A discriminative learning framework with pairwise constraints for video object classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Object-based image retrieval using the statistical structure of images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Sharing features: efficient boosting procedures for multiclass object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Cost-Sensitive Active Visual Category Learning
International Journal of Computer Vision
Semantic context inference in multimedia search
The future internet
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Semantic hierarchies for image annotation: A survey
Pattern Recognition
Improvements in image categorization using codebook ensembles
Image and Vision Computing
A bayesian network approach to multi-feature based image retrieval
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Learning by integrating information within and across fixations
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Probabilistic linear discriminant analysis
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Feature selection for image categorization
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A new class of learnable detectors for categorisation
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Unsupervised learning of visual feature hierarchies
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Learning hierarchical shape models from examples
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Salient feature selection for visual concept learning
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - 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
Interactive retrieval of video sequences from local feature dynamics
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
One-shot visual appearance learning for mobile manipulation
International Journal of Robotics Research
Character recognition in natural scene images using local description
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Object Detection using Geometrical Context Feedback
International Journal of Computer Vision
Weakly Supervised Localization and Learning with Generic Knowledge
International Journal of Computer Vision
Latent identity variables: biometric matching without explicit identity estimation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Shape sharing for object segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Heterogeneous bag-of-features for object/scene recognition
Applied Soft Computing
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Learning visual models of object categories notoriously requiresthousands of training examples; this is due to thediversity and richness of object appearance which requiresmodels containing hundreds of parameters. We present amethod for learning object categories from just a few images(1 ~ 5).It is based on incorporating "generic"knowledge which may be obtained from previously learntmodels of unrelated categories. We operate in a variationalBayesian framework: object categories are represented byprobabilistic models, and "prior" knowledge is representedas a probability density function on the parameters of thesemodels. The "posterior" model for an object category is obtainedby updating the prior in the light of one or more observations.Our ideas are demonstrated on four diverse categories(human faces, airplanes, motorcycles, spotted cats).Initially three categories are learnt from hundreds of trainingexamples, and a "prior" is estimated from these. Thenthe model of the fourth category is learnt from 1 to 5 trainingexamples, and is used for detecting new exemplars a setof test images.