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» Using Information Extraction to Improve Document Retrieval
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CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
16 years 12 days ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...
PRICAI
2010
Springer
15 years 5 months ago
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval
Conventional methods for multimodal data retrieval use text-tag based or cross-modal approaches such as tag-image co-occurrence and canonical correlation analysis. Since there are ...
JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Z...
IRI
2008
IEEE
16 years 1 months ago
Gadget creation for personal information integration on web portals
Although the ever growing Web contain information to virtually every user’s query, it does not guarantee effectively accessing to those information. In many situations, the user...
Chia-Hui Chang, Shih-Feng Yang, Che-Min Liou, Moha...
ISBI
2006
IEEE
16 years 7 months ago
Texture-based segmentation of the knee bones in MRI using phase information
This paper considers the problem of tissue classification in 3D MRI by the mean of texture analysis. The main contribution is the use of the phase of the complex MR image, to deri...
Peter Stanwell, Pierrick Bourgeat, Sébastie...
SIGIR
2004
ACM
16 years 8 days ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara