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» High-Level Optimization via Automated Statistical Modeling
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NIPS
2004
13 years 9 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
SIGMETRICS
2006
ACM
156views Hardware» more  SIGMETRICS 2006»
14 years 1 months ago
Maximizing throughput in wireless networks via gossiping
A major challenge in the design of wireless networks is the need for distributed scheduling algorithms that will efficiently share the common spectrum. Recently, a few distributed...
Eytan Modiano, Devavrat Shah, Gil Zussman
IPMI
2007
Springer
14 years 8 months ago
Regional Appearance in Deformable Model Segmentation
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
BMCBI
2005
109views more  BMCBI 2005»
13 years 7 months ago
Automation of gene assignments to metabolic pathways using high-throughput expression data
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
Liviu Popescu, Golan Yona