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CVPR
2008
IEEE
14 years 11 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
PAMI
2008
391views more  PAMI 2008»
13 years 9 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
ILP
2003
Springer
14 years 2 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
CGF
2010
114views more  CGF 2010»
13 years 4 months ago
Transparent and Specular Object Reconstruction
This state of the art report covers reconstruction methods for transparent and specular objects or phenomena. While the 3D acquisition of opaque surfaces with lambertian reflectan...
Ivo Ihrke, Kiriakos N. Kutulakos, Hendrik P. A. Le...
DAC
1995
ACM
14 years 17 days ago
Register Allocation and Binding for Low Power
This paper describes a technique for calculating the switching activity of a set of registers shared by di erent data values. Based on the assumption that the joint pdf (probabili...
Jui-Ming Chang, Massoud Pedram