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» Evaluating algorithms that learn from data streams
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90
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ICPR
2004
IEEE
16 years 1 months ago
Group-based Relevance Feedback with Support Vector Machine Ensembles
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
Chu-Hong Hoi, Michael R. Lyu
ISBI
2004
IEEE
16 years 1 months ago
Extended Depth-of-Focus for Multi-Channel Microscopy Images: A Complex Wavelet Approach
Microscopy imaging often suffers from limited depth-offocus. However, the specimen can be `optically sectioned' by moving the object along the optical axis; different areas a...
Brigitte Forster, Dimitri Van De Ville, Jesse Bere...
112
Voted
WWW
2009
ACM
16 years 1 months ago
Exploiting web search to generate synonyms for entities
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
70
Voted
EDBT
2009
ACM
136views Database» more  EDBT 2009»
15 years 7 months ago
Finding frequent co-occurring terms in relational keyword search
Given a set Q of keywords, conventional keyword search (KS) returns a set of tuples, each of which (i) is obtained from a single relation, or by joining multiple relations, and (i...
Yufei Tao, Jeffrey Xu Yu
AINA
2007
IEEE
15 years 6 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
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