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CORR
2012
Springer
214views Education» more  CORR 2012»
12 years 4 months ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
ICCV
2007
IEEE
14 years 10 months ago
MRF Optimization via Dual Decomposition: Message-Passing Revisited
A new message-passing scheme for MRF optimization is proposed in this paper. This scheme inherits better theoretical properties than all other state-of-the-art message passing met...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
BMCBI
2002
108views more  BMCBI 2002»
13 years 8 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy
ESA
2004
Springer
92views Algorithms» more  ESA 2004»
14 years 1 months ago
Finding Dominators in Practice
The computation of dominators in a flowgraph has applications in several areas, including program optimization, circuit testing, and theoretical biology. Lengauer and Tarjan [30]...
Loukas Georgiadis, Renato Fonseca F. Werneck, Robe...
HICSS
2008
IEEE
90views Biometrics» more  HICSS 2008»
14 years 2 months ago
Antecedents to E-File Adoption: The U.S. Perspective
One of congress’ goals for 2007 was for 80% of all tax and informational returns to be filed electronically [9]. However, to date that lofty goal has fallen well short. This res...
Lemuria Carter, Ludwig Christian Schaupp, Allison ...