77
edits
Changes
→Talk Abstracts Spring 2015
Related paper: [http://arxiv.org/abs/1502.00030 SHOE]
Related paper: [http://arxiv.org/abs/1502.00030 SHOE]
===A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process===
Speaker: [http://www.cs.umd.edu/~ozdemir/ Bahadir Ozdemir]
Abstract:
Integrating information from multiple input sources is critical to achieve several key tasks in machine learning. Discovering hidden common causes that explain the dependency among modalities contributes towards enhancing performance in these tasks compared to single-view approaches. We propose a multimodal retrieval procedure based on latent feature models. The procedure consists of a nonparametric Bayesian framework for learning underlying semantically meaningful abstract features in a multimodal dataset, a probabilistic retrieval model that allows cross-modal queries and an extension model for relevance feedback. Experiments on two multimodal datasets, PASCAL-Sentence and SUN-Attribute, demonstrate the effectiveness of the proposed retrieval procedure in comparison to the state-of-the-art algorithms for learning binary codes.
Related paper:
[http://www.cs.umd.edu/~ozdemir/papers/nips14_iibp.pdf A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process, NIPS 2014]
==Past Semesters==
==Past Semesters==