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» A New Framework for Dissimilarity and Similarity Learning
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CVPR
2006
IEEE
14 years 7 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
NIPS
2008
13 years 6 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
ICML
2004
IEEE
14 years 6 months ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
13 years 11 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
ICCAD
1996
IEEE
93views Hardware» more  ICCAD 1996»
13 years 9 months ago
VERILAT: verification using logic augmentation and transformations
This paper presents a new framework for formal logic verification. What is depicted here is fundamentally different from previous approaches. In earlier approaches, the circuit is ...
Dhiraj K. Pradhan, Debjyoti Paul, Mitrajit Chatter...