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» Semantic based image retrieval: a probabilistic approach
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ICIP
2003
IEEE
15 years 11 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
ICPR
2000
IEEE
15 years 11 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
MMM
2011
Springer
368views Multimedia» more  MMM 2011»
14 years 1 months ago
Correlated PLSA for Image Clustering
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
Peng Li, Jian Cheng, Zechao Li, Hanqing Lu
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 3 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
WWW
2007
ACM
15 years 10 months ago
A probabilistic semantic approach for discovering web services
Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-bas...
Jiangang Ma, Jinli Cao, Yanchun Zhang