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» Learning Models for Predicting Recognition Performance
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127
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ICCV
2007
IEEE
16 years 4 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
120
Voted
UAI
2008
15 years 4 months ago
Knowledge Combination in Graphical Multiagent Models
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
Quang Duong, Michael P. Wellman, Satinder P. Singh
131
Voted
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 9 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
135
Voted
IUI
2005
ACM
15 years 8 months ago
How to wreck a nice beach you sing calm incense
A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of...
Henry Lieberman, Alexander Faaborg, Waseem Daher, ...
126
Voted
GLOBECOM
2008
IEEE
15 years 9 months ago
Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks
—In this paper, we study the distributed spectrum allocation for autonomous users transmitting delay-sensitive information over a wireless multi-carrier network. Because there is...
Wenchi Tu, Mihaela van der Schaar