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SIGIR
2008
ACM
13 years 4 months ago
Theoretical bounds on and empirical robustness of score regularization to different similarity measures
We present theoretical bounds and empirical robustness of score regularization given changes in the similarity measure. Categories and Subject Descriptors: I.5.3 Clustering: Simil...
Fernando D. Diaz
CVPR
2009
IEEE
1942views Computer Vision» more  CVPR 2009»
15 years 10 days ago
Learning Similarity Measure for Multi-Modal 3D Image Registration
Multi-modal image registration is a challenging problem in medical imaging. The goal is to align anatomically identical structures; however, their appearance in images acquired wit...
Bernhard Schölkopf, Daewon Lee, Florian Stein...
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
14 years 5 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel
JMLR
2012
11 years 7 months ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
SOFSEM
2000
Springer
13 years 8 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt