16 search results - page 3 / 4 » Multi-Label Dimensionality Reduction via Dependence Maximiza... |
SCALESPACE
2005
Springer
14 years 25 days 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
13 years 8 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...
CVPR
2007
IEEE
14 years 9 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 ...
COMPGEOM
2001
ACM
13 years 11 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...
SCAM
2006
IEEE
14 years 1 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...