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» Learning the Structure of Deep Sparse Graphical Models
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SIGIR
2000
ACM
13 years 10 months ago
OCELOT: a system for summarizing Web pages
Abstract We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has ...
Adam L. Berger, Vibhu O. Mittal
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CHI
2007
ACM
13 years 9 months ago
Aligning development tools with the way programmers think about code changes
Software developers must modify their programs to keep up with changing requirements and designs. Often, a conceptually simple change can require numerous edits that are similar b...
Marat Boshernitsan, Susan L. Graham, Marti A. Hear...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 6 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
CVPR
2004
IEEE
14 years 7 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade