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» Maximal Lattice-Free Convex Sets in Linear Subspaces
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TIT
2011
116views more  TIT 2011»
13 years 1 months ago
Convex Programming Upper Bounds on the Capacity of 2-D Constraints
—The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distri...
Ido Tal, Ron M. Roth
PAMI
2007
217views more  PAMI 2007»
13 years 6 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
CCCG
2009
13 years 8 months ago
Optimal Empty Pseudo-Triangles in a Point Set
Given n points in the plane, we study three optimization problems of computing an empty pseudo-triangle: we consider minimizing the perimeter, maximizing the area, and minimizing ...
Hee-Kap Ahn, Sang Won Bae, Iris Reinbacher
WEBI
2010
Springer
13 years 4 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
IVC
2006
175views more  IVC 2006»
13 years 7 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher