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» Mean Shift Analysis and Applications
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DFN
2003
13 years 9 months ago
High-Efficient Intrusion Detection Infrastructure
In recent years research activities in computer network security focus more actively on the development of effective methods in intrusion detection. The reason for this developmen...
Thomas Holz, Michael Meier, Hartmut König
TSD
2009
Springer
14 years 2 months ago
Hybrid Semantic Analysis
— This article is focused on the problem of meaning recognition in spoken utterances. The goal is to find a computer algorithm capable to construct the meaning description of a ...
Miloslav Konopík, Ivan Habernal
ICIP
2002
IEEE
14 years 9 months ago
Image segmentation using clustering with saddle point detection
We discuss a novel statistical framework for image segmentation based on nonparametric clustering. By employing the mean shift procedure for analysis, image regions are identified...
Dorin Comaniciu
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture
PRL
2000
95views more  PRL 2000»
13 years 7 months ago
Neural network-based fuzzy observer with application to facial analysis
Human facial wrinkles can be eectively utilized for facial analysis. It is not an easy task, however, to extract features of wrinkledness directly from a camera image of a human f...
Gyu-tae Park, Zeungnam Bien