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» New EM derived from Kullback-Leibler divergence
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LREC
2008
93views Education» more  LREC 2008»
13 years 8 months ago
Using a Probabilistic Model of Context to Detect Word Obfuscation
This paper proposes a distributional model of word use and word meaning which is derived purely from a body of text, and then applies this model to determine whether certain words...
Sanaz Jabbari, Ben Allison, Louise Guthrie
KAIS
2008
81views more  KAIS 2008»
13 years 6 months ago
Maximum entropy based significance of itemsets
We consider the problem of defining the significance of an itemset. We say that the itemset is significant if we are surprised by its frequency when compared to the frequencies of ...
Nikolaj Tatti
UAI
2004
13 years 8 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
TSP
2008
95views more  TSP 2008»
13 years 6 months ago
On the Description of Spectrogram Probabilities With a Chi-Squared Law
Abstract--Given a correlated Gaussian signal, may a chisquared law of probability always be used to describe a spectrogram coefficient distribution? If not, would a "chi-squar...
J. Huillery, F. Millioz, N. Martin
HUMO
2007
Springer
14 years 22 days ago
Joint Appearance and Deformable Shape for Nonparametric Segmentation
This paper deals with region-of-interest (ROI) segmentation in video sequences. The goal is to determine in one frame the region which best matches, in terms of a similarity measur...
Sylvain Boltz, Eric Debreuve, Michel Barlaud