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ICASSP
2011
IEEE
14 years 8 months ago
Discriminative simplification of mixture models
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
Yossi Bar-Yosef, Yuval Bistritz
ACL
2011
14 years 8 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
128
Voted
ICIP
2001
IEEE
16 years 6 months ago
Multiple parametric motion model estimation and segmentation
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
Filiberto Pla, Raúl Montoliu
KDD
2008
ACM
184views Data Mining» more  KDD 2008»
16 years 5 months ago
Joint latent topic models for text and citations
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William...
HICSS
2009
IEEE
159views Biometrics» more  HICSS 2009»
15 years 11 months ago
Collaborative Modeling - A Design Science Approach
We have used a design science approach to study the collaborative creation of conceptual models. We have designed a collaborative modeling architecture based on business needs and...
Peter Rittgen
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