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TNN
2010
216views Management» more  TNN 2010»
15 years 27 days 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 11 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
16 years 1 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 11 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»
16 years 6 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