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ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
15 years 11 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi
SSDBM
2007
IEEE
104views Database» more  SSDBM 2007»
15 years 11 months ago
Reservoir Sampling over Memory-Limited Stream Joins
In stream join processing with limited memory, uniform random sampling is useful for approximate query evaluation. In this paper, we address the problem of reservoir sampling over...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
15 years 11 months ago
Adaptive-Size Reservoir Sampling over Data Streams
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
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AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
15 years 10 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
APLAS
2005
ACM
15 years 10 months ago
Using Datalog with Binary Decision Diagrams for Program Analysis
Many problems in program analysis can be expressed naturally and concisely in a declarative language like Datalog. This makes it easy to specify new analyses or extend or compose e...
John Whaley, Dzintars Avots, Michael Carbin, Monic...