Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
A view of the EM algorithm that justifies incremental, sparse, and other variants
Proceedings of the NATO Advanced Study Institute on Learning in graphical models
A computational model for visual selection
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Saliency, Scale and Image Description
International Journal of Computer Vision
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - 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
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Guest Editorial: Generative model based vision
Computer Vision and Image Understanding
On the computational rationale for generative models
Computer Vision and Image Understanding
Labeled images verification using Gaussian mixture models
Proceedings of the 2009 ACM symposium on Applied Computing
Learning to segment from a few well-selected training images
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Regional category parsing in undirected graphical models
Pattern Recognition Letters
Brain state decoding for rapid image retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Interest Point Stability Prediction
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
A lexica family with small semantic GAP
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Learning to rank for content-based image retrieval
Proceedings of the international conference on Multimedia information retrieval
A user study to investigate semantically relevant contextual information of WWW images
International Journal of Human-Computer Studies
Object categorization using boosting within hierarchical Bayesian model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Action categorization by structural probabilistic latent semantic analysis
Computer Vision and Image Understanding
Expert Systems with Applications: An International Journal
Two-stage localization for image labeling
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Evaluation of pooling operations in convolutional architectures for object recognition
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Max-margin dictionary learning for multiclass image categorization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Image classification using super-vector coding of local image descriptors
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
ChemInk: a natural real-time recognition system for chemical drawings
Proceedings of the 16th international conference on Intelligent user interfaces
A BOVW based query generative model
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
A multi-scale learning framework for visual categorization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Toward a higher-level visual representation for content-based image retrieval
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Saliency moments for image categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Hypergraph with sampling for image retrieval
Pattern Recognition
Multi-class object detection with hough forests using local histograms of visual words
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
The image ray transform for structural feature detection
Pattern Recognition Letters
JIGSAW: interactive mobile visual search with multimodal queries
MM '11 Proceedings of the 19th ACM international conference on Multimedia
PMA: Pixel-based multi-anchor algorithm for image recognition on multi-core systems
Proceedings of the 2012 International Workshop on Programming Models and Applications for Multicores and Manycores
On feature selection with principal component analysis for one-class SVM
Pattern Recognition Letters
Semi-supervised facial landmark annotation
Computer Vision and Image Understanding
Editors Choice Article: I2VM: Incremental import vector machines
Image and Vision Computing
Object Recognition by Sequential Figure-Ground Ranking
International Journal of Computer Vision
Toward a higher-level visual representation for content-based image retrieval
Multimedia Tools and Applications
On the consistency and features of image similarity
Proceedings of the 4th Information Interaction in Context Symposium
A search-classify approach for cluttered indoor scene understanding
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Correlation preserved dictionary learning for sparse representation
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
International Journal of Computer Vision
Spatial pooling of heterogeneous features for image applications
Proceedings of the 20th ACM international conference on Multimedia
Discriminative ICA model with reconstruction constraint for image classification
Proceedings of the 20th ACM international conference on Multimedia
Topic based pose relevance learning in dance archives
Proceedings of the 21st ACM international conference on Information and knowledge management
Biologically inspired task oriented gist model for scene classification
Computer Vision and Image Understanding
Bag of spatio-visual words for context inference in scene classification
Pattern Recognition
Ensemble partitioning for unsupervised image categorization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Information theoretic learning for pixel-based visual agents
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Semantic segmentation with second-order pooling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
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
Multi-view facial expression recognition analysis with generic sparse coding feature
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
A segmentation-free method for image classification based on pixel-wise matching
Journal of Computer and System Sciences
Image retrieval with query-adaptive hashing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Entropy based image semantic cycle for image classification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Graph regularized ICA for over-complete feature learning
CVM'12 Proceedings of the First international conference on Computational Visual Media
VISCERAL: towards large data in medical imaging -- challenges and directions
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Beyond dataset bias: multi-task unaligned shared knowledge transfer
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Hierarchical object representations for visual recognition via weakly supervised learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Multi-class learning from class proportions
Neurocomputing
Large scale visual classification with many classes
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment
Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-view K-means clustering on big data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation
Expert Systems with Applications: An International Journal
The Visual Computer: International Journal of Computer Graphics
A scalable approach for content based image retrieval in cloud datacenter
Information Systems Frontiers
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Current computational approaches to learning visual object categories require thousands of training images, are slow, cannot learn in an incremental manner and cannot incorporate prior information into the learning process. In addition, no algorithm presented in the literature has been tested on more than a handful of object categories. We present an method for learning object categories from just a few training images. It is quick and it uses prior information in a principled way. We test it on a dataset composed of images of objects belonging to 101 widely varied categories. Our proposed method is based on making use of prior information, assembled from (unrelated) object categories which were previously learnt. A generative probabilistic model is used, which represents the shape and appearance of a constellation of features belonging to the object. The parameters of the model are learnt incrementally in a Bayesian manner. Our incremental algorithm is compared experimentally to an earlier batch Bayesian algorithm, as well as to one based on maximum likelihood. The incremental and batch versions have comparable classification performance on small training sets, but incremental learning is significantly faster, making real-time learning feasible. Both Bayesian methods outperform maximum likelihood on small training sets.