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ECCV
2002
Springer
16 years 6 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
ICML
2005
IEEE
16 years 5 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
ICML
1995
IEEE
16 years 5 months ago
Learning to Make Rent-to-Buy Decisions with Systems Applications
In the single rent-to-buy decision problem, without a priori knowledge of the amount of time a resource will be used we need to decide when to buy the resource, given that we can ...
P. Krishnan, Philip M. Long, Jeffrey Scott Vitter
WWW
2009
ACM
16 years 5 months ago
An experimental study of large-scale mobile social network
Mobile social network is a typical social network where one or more individuals of similar interests or commonalities, conversing and connecting with one another using the mobile ...
Zheng-Bin Dong, Guo-Jie Song, Kun-Qing Xie, Jing-Y...
PODS
2005
ACM
151views Database» more  PODS 2005»
16 years 4 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
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