Sciweavers

1224 search results - page 126 / 245
» On the Optimality of the Dimensionality Reduction Method
Sort
View
ICASSP
2010
IEEE
15 years 6 months ago
A nullspace analysis of the nuclear norm heuristic for rank minimization
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...
Krishnamurthy Dvijotham, Maryam Fazel
CORR
2006
Springer
151views Education» more  CORR 2006»
15 years 6 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
PR
2006
89views more  PR 2006»
15 years 6 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
ICML
2010
IEEE
15 years 4 months ago
Multiple Non-Redundant Spectral Clustering Views
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
Donglin Niu, Jennifer G. Dy, Michael I. Jordan
ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
15 years 4 months ago
Deformable robot motion planning in a reduced-dimension configuration space
Abstract-- Motion planning of deformable objects is challenging due to the high degrees-of-freedom inherent in deformation as well as the computational cost of producing physically...
Arthur Mahoney, Joshua Bross, David Johnson