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ECCV
2002
Springer
16 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
WACV
2008
IEEE
16 years 1 months ago
A non parametric approach for modeling interferometric SAR imagery and applications
In this paper, we present a non parametric modeling for phase maps of interferometric SAR. Cosine and Sine projections maps are generated from the SAR phase map, and each of them ...
Kuntal Sengupta, Prabir Burman
INFOCOM
2005
IEEE
16 years 26 days ago
Perfect simulation and stationarity of a class of mobility models
— We define “random trip", a generic mobility model for independent mobiles that contains as special cases: the random waypoint on convex or non convex domains, random wa...
Jean-Yves Le Boudec, Milan Vojnovic
AIPS
2010
15 years 9 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
GI
2008
Springer
15 years 8 months ago
A Novel Conceptual Model for Accessing Distributed Data and Applications, as well as Devices
: As data and services are increasingly distributed in the network, rather than stored in a fixed location, one can imagine a scenario in which the Personal Computer, intended as a...
Lucia Terrenghi, Thomas Lang