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» Techniques for Empirical Validation
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RAS
2002
131views more  RAS 2002»
15 years 6 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 6 months ago
Lower Bounds on the Rate-Distortion Function of Individual LDGM Codes
Abstract-- We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function wh...
Shrinivas Kudekar, Rüdiger L. Urbanke
SAC
2008
ACM
15 years 6 months ago
An objective way to evaluate and compare binarization algorithms
The choice of the best binarization algorithm is very critical for any document image processing system, since it is one of the first tasks and any mistake it performs will be car...
Ergina Kavallieratou
TCBB
2008
108views more  TCBB 2008»
15 years 6 months ago
Statistical Characterization of Protein Ensembles
When accounting for structural fluctuations or measurement errors, a single rigid structure may not be sufficient to represent a protein. One approach to solve this problem is to r...
Diego Rother, Guillermo Sapiro, Vijay Pande
ICASSP
2010
IEEE
15 years 5 months ago
Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer thi...
Xianming Liu, Hongxun Yao, Rongrong Ji