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» Learning the Structure of Deep Sparse Graphical Models
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AAAI
2008
13 years 11 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
EMNLP
2006
13 years 10 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
JMLR
2008
108views more  JMLR 2008»
13 years 8 months ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
ICML
2009
IEEE
14 years 9 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
ICW
2005
IEEE
160views Communications» more  ICW 2005»
14 years 2 months ago
BAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression
The MPEG-4 standard includes support not only for natural video and audio, but also for synthetic graphics and sounds. In the MPEG-4 specifications, Body Animation Parameters (BAP...
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar,...