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MM
2005
ACM
122views Multimedia» more  MM 2005»
15 years 11 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
ADCM
2008
136views more  ADCM 2008»
15 years 6 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
NIPS
1993
15 years 7 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
ECTEL
2007
Springer
16 years 11 days ago
Remote Cooperation on Project-centred Learning: a Working Implemented Solution in Academia
The paper aims at illustrating the original technical solution provided within an academic institute in order to manage teaching activities, encompassing the coordination of projec...
Carola Salvioni, Antonio Vincenzo Taddeo
COLT
2005
Springer
15 years 11 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry