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» Optimizing Complex Loss Functions in Structured Prediction
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RECOMB
2009
Springer
16 years 3 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
SIPS
2007
IEEE
15 years 9 months ago
A Fast Mode Decision Algorithm for H.264/AVC Intra Prediction
In this paper, we present a fast mode decision algorithm for H.264/AVC intra prediction. The goal of this work is to reduce computational complexity of the H.264 encoder without s...
Ling-Jiao Pan, Yo-Sung Ho
CVPR
2011
IEEE
14 years 11 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
COLT
2010
Springer
15 years 1 months ago
Hedging Structured Concepts
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...
Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivine...
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
A methodology for the structural and functional analysis of signaling and regulatory networks
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
Steffen Klamt, Julio Saez-Rodriguez, Jonathan A. L...