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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2010
163views more  BMCBI 2010»
13 years 7 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Strategies for measuring evolutionary conservation of RNA secondary structures
Background: Evolutionary conservation of RNA secondary structure is a typical feature of many functional non-coding RNAs. Since almost all of the available methods used for predic...
Andreas R. Gruber, Stephan H. F. Bernhart, Ivo L. ...
JMLR
2010
161views more  JMLR 2010»
13 years 2 months ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao
DATE
2010
IEEE
174views Hardware» more  DATE 2010»
13 years 5 months ago
An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusio
The H.264/AVC video encoder standard significantly improves the compression efficiency by using variable block-sized Inter (P) and Intra (I) Macroblock (MB) coding modes. In this p...
Muhammad Shafique, Bastian Molkenthin, Jörg H...
NIPS
2007
13 years 9 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....