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COLT
1999
Springer
14 years 5 days ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
DCC
1998
IEEE
14 years 5 days ago
Optimal Multiple Description Transform Coding of Gaussian Vectors
Multiple description coding (MDC) is source coding for multiple channels such that a decoder which receives an arbitrary subset of the channels may produce a useful reconstruction...
Vivek K. Goyal, Jelena Kovacevic
NIPS
2008
13 years 9 months ago
Support Vector Machines with a Reject Option
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
TWC
2008
131views more  TWC 2008»
13 years 7 months ago
Asymptotic Ergodic Capacity of Multidimensional Vector-Sensor Array MIMO Channels
Abstract--We analyze asymptotic ergodic capacity of multidimensional vector-sensor array MIMO (PMD-MIMO) channels established by the use of dual-polarized antennas in the form of 1...
Özgür Ertug
TOG
2002
160views more  TOG 2002»
13 years 7 months ago
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
We present a new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that captures soft shadows, interreflections, and caustics. As a...
Peter-Pike J. Sloan, Jan Kautz, John Snyder