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125
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ICML
2009
IEEE
16 years 4 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICML
2007
IEEE
16 years 4 months ago
Neighbor search with global geometry: a minimax message passing algorithm
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
Kye-Hyeon Kim, Seungjin Choi
122
Voted
WWW
2008
ACM
16 years 4 months ago
A framework for fast community extraction of large-scale networks
Most of the faster community extraction algorithms are based on the Clauset, Newman and Moore (CNM), which is employed for networks with sizes up to 500,000 nodes. The modificatio...
Yutaka I. Leon-Suematsu, Kikuo Yuta
WWW
2003
ACM
16 years 4 months ago
Scaling personalized web search
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's P...
Glen Jeh, Jennifer Widom
231
Voted
ASPLOS
2009
ACM
16 years 4 months ago
Maximum benefit from a minimal HTM
A minimal, bounded hardware transactional memory implementation significantly improves synchronization performance when used in an operating system kernel. We add HTM to Linux 2.4...
Owen S. Hofmann, Christopher J. Rossbach, Emmett W...