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» The Bayesian Structural EM Algorithm
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CVPR
2005
IEEE
14 years 10 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
AI
2008
Springer
13 years 8 months ago
Semiring induced valuation algebras: Exact and approximate local computation algorithms
Local computation in join trees or acyclic hypertrees has been shown to be linked to a particular algebraic structure, called valuation algebra. There are many models of this alge...
Jürg Kohlas, Nic Wilson
CVPR
2003
IEEE
14 years 10 months ago
Constrained Subspace Modelling
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
Jaco Vermaak, Patrick Pérez
TIP
2008
157views more  TIP 2008»
13 years 8 months ago
Robust Face Tracking via Collaboration of Generic and Specific Models
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
Peng Wang, Qiang Ji
ICCAD
2010
IEEE
121views Hardware» more  ICCAD 2010»
13 years 6 months ago
Multi-Wafer Virtual Probe: Minimum-cost variation characterization by exploring wafer-to-wafer correlation
In this paper, we propose a new technique, referred to as MultiWafer Virtual Probe (MVP) to efficiently model wafer-level spatial variations for nanoscale integrated circuits. Tow...
Wangyang Zhang, Xin Li, Emrah Acar, Frank Liu, Rob...