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BMCBI
2002
188views more  BMCBI 2002»
15 years 6 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
CVPR
2008
IEEE
16 years 9 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
201
Voted
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 7 months ago
Framework for Visualizing Model-Driven Software Evolution and its Application
Software Visualization encompasses the development and evaluation of methods for graphically representing different aspects of methods of software, including its structure, execut...
Akepogu Anand Rao, Karanam Madhavi
VMV
2004
292views Visualization» more  VMV 2004»
15 years 8 months ago
Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh
Statistical shape modeling using point distribution models (PDMs) has been studied extensively for segmentation and other image analysis tasks. Methods investigated in the literat...
Geremy Heitz, Torsten Rohlfing, Calvin R. Maurer J...