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JMLR
2012
13 years 6 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
JMLR
2012
13 years 6 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
JMLR
2012
13 years 6 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
WWW
2006
ACM
16 years 4 months ago
Living the TV revolution: unite MHP to the web or face IDTV irrelevance!
The union of Interactive Digital TV (IDTV) and Web promotes the development of new interactive multimedia services, enjoyable while watching TV even on the new handheld digital TV...
Stefano Ferretti, Marco Roccetti, Johannes Andrich
ICALP
2009
Springer
16 years 4 months ago
Universal Succinct Representations of Trees?
Abstract. We consider the succinct representation of ordinal and cardinal trees on the RAM with logarithmic word size. Given a tree T, our representations support the following ope...
Arash Farzan, Rajeev Raman, S. Srinivasa Rao