16 search results - page 3 / 4 » Multi-Label Dimensionality Reduction via Dependence Maximiza... |
93
Voted
SCALESPACE
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. We present a technique for texture mapping arbitrary sphere-like surfaces with minimal distortions by spherical embedding. The embedding is computed using spherical multi...
NIPS
2007
15 years 2 months ago
2007
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
103
Voted
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
149
Voted
COMPGEOM
2001
ACM
15 years 4 months ago
2001
ACM
The treatment of curved algebraic surfaces becomes more and more the focus of attention in Computational Geometry. We present a video that illustrates the computation of the conve...
96
Voted
SCAM
2006
IEEE
15 years 7 months ago
2006
IEEE
Traditional program slicing requires two parameters: a program location and a variable, or perhaps a set of variables, of interest. Stop-list slicing adds a third parameter to the...