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TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ICPR
2010
IEEE
15 years 3 months ago
3D Model Comparison through Kernel Density Matching
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
Yiming Wang, Tong Lu, Rongjun Gao, Wenyin Liu
SBP
2010
Springer
15 years 4 months ago
A Knowledge Collaboration Network Model across Disciplines
Abstract. We propose a theoretical framework for the optimal collaboration among researchers in a knowledge network in which researchers are not limited to a single discipline and ...
Anna Nagurney, Qiang Qiang
ASIACRYPT
2005
Springer
15 years 3 months ago
Privacy-Preserving Graph Algorithms in the Semi-honest Model
Abstract. We consider scenarios in which two parties, each in possession of a graph, wish to compute some algorithm on their joint graph in a privacy-preserving manner, that is, wi...
Justin Brickell, Vitaly Shmatikov
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales