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» Unified Solution to Nonnegative Data Factorization Problems
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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 10 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
ECCV
2010
Springer
13 years 6 months ago
Element-Wise Factorization for N-View Projective Reconstruction
Sturm-Triggs iteration is a standard method for solving the projective factorization problem. Like other iterative algorithms, this method suffers from some common drawbacks such ...
Yuchao Dai, Hongdong Li, Mingyi He
WWW
2003
ACM
14 years 8 months ago
A Unified Abstraction for Messaging on the Semantic Web
d Abstraction for Messaging on the Semantic Web Dennis Quan IBM Internet Technology 1 Rogers Street Cambridge, MA 02142 USA dennisq@us.ibm.com Karun Bakshi MIT Artificial Intellige...
Dennis Quan, Karun Bakshi, David R. Karger
MT
2010
88views more  MT 2010»
13 years 6 months ago
Metric and reference factors in minimum error rate training
In Minimum Error Rate Training (MERT), BLEU is often used as the error function, despite the fact that it has been shown to have a lower correlation with human judgment than other...
Yifan He, Andy Way
KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan