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» Learning to Track with Multiple Observers
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ICASSP
2011
IEEE
12 years 11 months ago
Clustering and suppression of transient noise in speech signals using diffusion maps
Recently we have presented a novel approach for transient noise reduction that relies on non-local (NL) filtering. In this paper, we modify and extend our approach to support clu...
Ronen Talmon, Israel Cohen, Sharon Gannot
ECCV
2008
Springer
14 years 9 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
IJCNN
2007
IEEE
14 years 2 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
UM
2007
Springer
14 years 1 months ago
Identifiability: A Fundamental Problem of Student Modeling
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
Joseph E. Beck, Kai-min Chang
ICVS
2003
Springer
14 years 27 days ago
VICs: A Modular Vision-Based HCI Framework
Many Vision-Based Human-Computer Interaction (VB-HCI) systems are based on the tracking of user actions. Examples include gazetracking, head-tracking, finger-tracking, and so fort...
Guangqi Ye, Jason J. Corso, Darius Burschka, Grego...