Three-way aspect model (TWAPM) and co-training for image retrieval

Anca Doloc-Mihu; Vijay V. Raghavan

doi:10.1117/12.720153

9 April 2007 Three-way aspect model (TWAPM) and co-training for image retrieval

Anca Doloc-Mihu, Vijay V. Raghavan

Proceedings Volume 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007; 65700L (2007) https://doi.org/10.1117/12.720153
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The goal of this work is to investigate the applicability of two probabilistic approaches, namely Three-Way Aspect Model (TWAPM) and Co-training, to retrieve images represented by multiple feature types from large image collections. We test these approaches in a learning context via relevance feedback from user. Our experiments show that Co-training may be a better choice than TWAPM for a Web-based Image Retrieval System.

Citation Download Citation

Anca Doloc-Mihu and Vijay V. Raghavan "Three-way aspect model (TWAPM) and co-training for image retrieval", Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700L (9 April 2007); https://doi.org/10.1117/12.720153

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