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» How Good Is a Kernel When Used as a Similarity Measure
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COLT
2007
Springer
14 years 1 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
BMCBI
2006
120views more  BMCBI 2006»
13 years 7 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
EWCBR
2004
Springer
14 years 21 days ago
Case Retrieval Using Nonlinear Feature-Space Transformation
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...
Rong Pan, Qiang Yang, Lei Li
ISPASS
2005
IEEE
14 years 27 days ago
Measuring Program Similarity: Experiments with SPEC CPU Benchmark Suites
Performance evaluation using only a subset of programs from a benchmark suite is commonplace in computer architecture research. This is especially true during early design space e...
Aashish Phansalkar, Ajay Joshi, Lieven Eeckhout, L...
ICCV
1998
IEEE
13 years 11 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu