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129
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NAR
2010
107views more  NAR 2010»
14 years 10 months ago
NAPS: a residue-level nucleic acid-binding prediction server
Nucleic acid-binding proteins are involved in a great number of cellular processes. Understanding the mechanisms underlying these proteins first requires the identification of spe...
Matthew B. Carson, Robert E. Langlois, Hui Lu
140
Voted
PCM
2005
Springer
99views Multimedia» more  PCM 2005»
15 years 9 months ago
Photometry Data Coding for Three-Dimensional Mesh Models Using Connectivity and Geometry Information
In this paper, we propose new predictive coding schemes for photometry data of three-dimensional (3-D) mesh models as per-vertex binding. We exploit geometry and connectivity infor...
Young-Suk Yoon, Sung-Yeol Kim, Yo-Sung Ho
HAIS
2009
Springer
15 years 8 months ago
A Thermodynamical Model Study for an Energy Saving Algorithm
A local Spanish company that produces electric heaters needs an energy saving device to be integrated with the heaters. It was proven that a hybrid artificial intelligent systems (...
Enrique A. de la Cal, José Ramón Vil...
COLT
2001
Springer
15 years 8 months ago
Learning Additive Models Online with Fast Evaluating Kernels
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
Mark Herbster
133
Voted
CORR
2008
Springer
158views Education» more  CORR 2008»
15 years 3 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...