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» Maximum Likelihood Identification of a Dynamic Robot Model
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KDD
2007
ACM
155views Data Mining» more  KDD 2007»
15 years 9 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
JMLR
2008
209views more  JMLR 2008»
14 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
14 years 4 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
ICPR
2006
IEEE
15 years 10 months ago
View Dependent Enhancement of the Dynamic Range of Video
There are many applications for computer vision where a scene observed contains a wide range of brightness. Often, the low dynamic range of a camera limits the accuracy of informa...
Matti Niskanen
AMFG
2003
IEEE
144views Biometrics» more  AMFG 2003»
15 years 2 months ago
Boosted Audio-Visual HMM for Speech Reading
We propose a new approach for combining acoustic and visual measurements to aid in recognizing lip shapes of a person speaking. Our method relies on computing the maximum likeliho...
Pei Yin, Irfan A. Essa, James M. Rehg