Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Woźnica, Adam"'
We study the problem of learning local metrics for nearest neighbor classification. Most previous works on local metric learning learn a number of local unrelated metrics. While this "independence" approach delivers an increased flexibility its downs
Externí odkaz:
http://arxiv.org/abs/1209.3056
Metric learning methods have been shown to perform well on different learning tasks. Many of them rely on target neighborhood relationships that are computed in the original feature space and remain fixed throughout learning. As a result, the learned
Externí odkaz:
http://arxiv.org/abs/1206.6883
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 we bring them into a unified view and show that they have a much strong
Externí odkaz:
http://arxiv.org/abs/1201.4714
Autor:
Woźnica, Adam, Kalousis, Alexandros
Publikováno v:
Advances in Knowledge Discovery & Data Mining: 14th Pacific-Asia Conference, Pakdd 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II; 2010, p386-397, 12p
Publikováno v:
Advances in Knowledge Discovery & Data Mining: 14th Pacific-Asia Conference, Pakdd 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II; 2010, p374-385, 12p
Autor:
Ng, Wee Keong, Kitsuregawa, Masaru, Li, Jianzhong, Chang, Kuiyu, Woźnica, Adam, Kalousis, Alexandros, Hilario, Melanie
Publikováno v:
Advances in Knowledge Discovery & Data Mining (9783540332060); 2006, p546-551, 6p
Publikováno v:
Advances in Knowledge Discovery & Data Mining (9783540260769); 2005, p588-598, 11p