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99
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CVPR
2003
IEEE
16 years 2 months ago
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
Yi Zhou, Lie Gu, HongJiang Zhang
127
Voted
AI
2006
Springer
15 years 14 days ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
TSP
2008
114views more  TSP 2008»
15 years 9 days ago
Clipping-Noise Guided Sign-Selection for PAR Reduction in OFDM Systems
The peak-to-average power ratio (PAR) of orthogonal frequency division multiplexing (OFDM) systems can be reduced by using an optimal set of subcarrier signs. However, this sign se...
Luqing Wang, Chintha Tellambura
CSDA
2010
94views more  CSDA 2010»
15 years 15 days ago
Implementing Bayesian predictive procedures: The K-prime and K-square distributions
The implementation of Bayesian predictive procedures under standard normal models is considered. Two distributions are of particular interest, the K-prime and Ksquare distribution...
Jacques Poitevineau, Bruno Lecoutre
99
Voted
EMNLP
2007
15 years 1 months ago
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
Issei Sato, Hiroshi Nakagawa