A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
WordNet: a lexical database for English
Communications of the ACM
Kernel principal component analysis
Advances in kernel methods
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
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MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
Discriminating image senses by clustering with multimodal features
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A Discriminative Kernel-Based Approach to Rank Images from Text Queries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 25th international conference on Machine learning
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A New Baseline for Image Annotation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
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ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Word Sense Disambiguation: Algorithms and Applications
Word Sense Disambiguation: Algorithms and Applications
Exploiting Disambiguation and Discrimination in Information Retrieval Systems
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Word sense disambiguation with pictures
Artificial Intelligence - Special volume on connecting language to the world
Image Sense Classification in Text-Based Image Retrieval
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Harvesting Image Databases from the Web
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neural network to retrieve images from text queries
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
WSABIE: scaling up to large vocabulary image annotation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
International Journal of Computer Vision
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We study the task of learning to rank images given a text query, a problem that is complicated by the issue of multiple senses. That is, the senses of interest are typically the visually distinct concepts that a user wishes to retrieve. In this paper, we propose to learn a ranking function that optimizes the ranking cost of interest and simultaneously discovers the disambiguated senses of the query that are optimal for the supervised task. Note that no supervised information is given about the senses. Experiments performed on web images and the ImageNet dataset show that using our approach leads to a clear gain in performance.