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ECCV
2002
Springer
14 years 9 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
ICDE
2006
IEEE
155views Database» more  ICDE 2006»
14 years 9 months ago
Answering Imprecise Queries over Autonomous Web Databases
Current approaches for answering queries with imprecise constraints require user-specific distance metrics and importance measures for attributes of interest - metrics that are ha...
Ullas Nambiar, Subbarao Kambhampati
MIR
2006
ACM
120views Multimedia» more  MIR 2006»
14 years 1 months ago
Scalable search-based image annotation of personal images
With the prevalence of digital cameras, more and more people have considerable digital images on their personal devices. As a result, there are increasing needs to effectively sea...
Changhu Wang, Feng Jing, Lei Zhang, HongJiang Zhan...
NIPS
2008
13 years 9 months ago
Using Bayesian Dynamical Systems for Motion Template Libraries
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
Silvia Chiappa, Jens Kober, Jan Peters
PAMI
2010
274views more  PAMI 2010»
13 years 2 months ago
3D Face Recognition Using Isogeodesic Stripes
In this paper, we present a novel approach to 3D face matching that shows high effectiveness in distinguishing facial differences between distinct individuals from differences indu...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala