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ECCV
2002
Springer
14 years 11 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
MICCAI
2006
Springer
14 years 10 months ago
Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh
Abstract. This paper explores the use of deformable mesh for registration of microscopic iris image sequences. The registration, as an effort for stabilizing and rectifying images ...
Xubo B. Song, Andriy Myronenko, Stephen R. Plank, ...
BIRTHDAY
2003
Springer
14 years 2 months ago
Towards a Brain Compatible Theory of Syntax Based on Local Testability
Chomsky’s theory of syntax came after criticism of probabilistic associative models of word order in sentences. Immediate constituent structures are plausible but their descripti...
Stefano Crespi-Reghizzi, Valentino Braitenberg
ACL
2004
13 years 10 months ago
Attention Shifting for Parsing Speech
We present a technique that improves the efficiency of word-lattice parsing as used in speech recognition language modeling. Our technique applies a probabilistic parser iterative...
Keith B. Hall, Mark Johnson
NN
2006
Springer
13 years 9 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido