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METMBS
2003
255views Mathematics» more  METMBS 2003»
15 years 6 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
BMVC
1998
15 years 6 months ago
Corner Detection Via Topographic Analysis of Vector Potential
This paper describes how corner detection can be realised using a new feature representation that has recently been successfully exploited for edge and symmetry detection. The fea...
Bin Luo, Andrew D. J. Cross, Edwin R. Hancock
CORR
2008
Springer
128views Education» more  CORR 2008»
15 years 5 months ago
Opportunistic Collaborative Beamforming with One-Bit Feedback
An energy-efficient opportunistic collaborative beamformer with one-bit feedback is proposed for ad hoc sensor networks over Rayleigh fading channels. In contrast to conventional c...
Man-On Pun, D. Richard Brown III, H. Vincent Poor
DSP
2007
15 years 5 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
166
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PAMI
2008
189views more  PAMI 2008»
15 years 5 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...