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» Training Linear Discriminant Analysis in Linear Time
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ECCV
2002
Springer
14 years 10 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
ICA
2004
Springer
14 years 2 months ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...
TCSV
2002
121views more  TCSV 2002»
13 years 8 months ago
Rate-constrained multihypothesis prediction for motion-compensated video compression
Abstract-- This article investigates linearly combined motion-compensated signals for video compression. In particular, we discuss multiple motion-compensated signals that are join...
Markus Flierl, Thomas Wiegand, Bernd Girod
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 3 months ago
A Complexity View of Markets with Social Influence
: In this paper, inspired by the work of Megiddo on the formation of preferences and strategic analysis, we consider an early market model studied in the field of economic theory, ...
Xi Chen, Shang-Hua Teng
ECCV
2002
Springer
14 years 10 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto