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BMCBI
2006
137views more  BMCBI 2006»
13 years 9 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
SADM
2010
196views more  SADM 2010»
13 years 4 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty

Publication
194views
15 years 7 months ago
A Survey of Application Layer Techniques for Adaptive Streaming of Multimedia
The current Internet only supports best-effort traffic. New high-speed technologies such as ATM (asynchronous transfer mode), gigabit Ethernet, fast Ethernet, and frame relay, have...
Bobby Vandalore, Wu-chi Feng, Raj Jain, Sonia Fahm...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
CVPR
2007
IEEE
14 years 11 months ago
A Linear Programming Approach for Multiple Object Tracking
We propose a linear programming relaxation scheme for the class of multiple object tracking problems where the inter-object interaction metric is convex and the intraobject term q...
Hao Jiang, Sidney Fels, James J. Little