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ICML
2008
IEEE
14 years 9 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
KES
2005
Springer
14 years 2 months ago
Activity-Object Bayesian Networks for Detecting Occluded Objects in Uncertain Indoor Environment
Abstract. In the field of the service robots, object detection and scene understanding are very important. Conventional methods for object detection are performed with the geometri...
Youn-Suk Song, Sung-Bae Cho, Il Hong Suh
ADAPTIVE
2007
Springer
14 years 3 months ago
Web Document Modeling
A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a number of purposes. Application areas su...
Alessandro Micarelli, Filippo Sciarrone, Mauro Mar...
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 6 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
ICIP
2002
IEEE
14 years 10 months ago
Long term tracking using Bayesian networks
This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Arnaldo J. Abrantes, João Miranda Lemos, Jo...