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» A Clustering Based Approach to Efficient Image Retrieval
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MLDM
1999
Springer
15 years 6 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau
ISMIS
1997
Springer
15 years 6 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
ICDAR
2011
IEEE
14 years 1 months ago
Chinese Keyword Spotting Using Knowledge-Based Clustering
—Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
Yong Xia, Kuanquan Wang, Mingwei Li
105
Voted
ICPR
2006
IEEE
16 years 2 months ago
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices
Though millions of images are stored in a large digital image library today, the user can not access or make full use of these image information unless the digital image library i...
Patrick Shen-Pei Wang, Xinge You, Yuan Yan Tang, Y...
CVPR
2009
IEEE
16 years 9 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...