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» Detecting Inconsistencies in Distributed Data
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ICT
2004
Springer
194views Communications» more  ICT 2004»
14 years 3 months ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...
CSDA
2007
151views more  CSDA 2007»
13 years 10 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...
TMI
2010
201views more  TMI 2010»
13 years 8 months ago
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images
—This paper presents a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We describe and evaluat...
Amir Alush, Hayit Greenspan, Jacob Goldberger
IPPS
2008
IEEE
14 years 4 months ago
Scalable dynamic information flow tracking and its applications
We are designing scalable dynamic information flow tracking techniques and employing them to carry out tasks related to debugging (bug location and fault avoidance), security (so...
Rajiv Gupta, Neelam Gupta, Xiangyu Zhang, Dennis J...
VRST
2003
ACM
14 years 3 months ago
Time-critical collision detection using an average-case approach
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
Jan Klein, Gabriel Zachmann