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» A Theory for Memory-Based Learning
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ECCV
2008
Springer
16 years 8 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
IEEECIT
2010
IEEE
15 years 4 months ago
The Curriculum Reform of Database System Principle Based on Paperless Examination Platform
—Database technology is the significant part of computer science and technology, as the core technology of information management, database technology is widely used in the field...
Haifeng Ke, Gaoyan Zhang, Minghui Wu
COMPGEOM
2011
ACM
14 years 10 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
TREC
2004
15 years 7 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
DAC
2005
ACM
16 years 7 months ago
Efficient SAT solving: beyond supercubes
SAT (Boolean satisfiability) has become the primary Boolean reasoning engine for many EDA applications, so the efficiency of SAT solving is of great practical importance. Recently...
Domagoj Babic, Jesse D. Bingham, Alan J. Hu