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117
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ISBI
2002
IEEE
16 years 3 months ago
Multi-modality tomographic image reconstruction using mesh modeling
In this paper we investigate a mesh-modeling approach for multi-modality image reconstruction. In the proposed approach a mesh model uses information obtained from an anatomical M...
Jovan G. Brankov, Yongyi Yang, Richard M. Leahy, M...
103
Voted
AAAI
2008
15 years 4 months ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
116
Voted
WSC
2004
15 years 3 months ago
Teaching Regression with Simulation
Computer simulations can be used to teach complicated statistical concepts in linear regression more quickly and effectively than traditional lecture alone. In introductory applie...
John H. Walker
118
Voted
MT
2010
96views more  MT 2010»
15 years 29 days ago
Monte Carlo techniques for phrase-based translation
Recent advances in statistical machine translation have used approximate beam search for NP-complete inference within probabilistic translation models. We present an alternative ap...
Abhishek Arun, Barry Haddow, Philipp Koehn, Adam L...
ICMLA
2009
15 years 8 days ago
Regularizing the Local Similarity Discriminant Analysis Classifier
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
Luca Cazzanti, Maya R. Gupta