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» Introduction to Pattern Recognition
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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 10 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
130
Voted
IBPRIA
2005
Springer
15 years 10 months ago
Fast Surface Grading Using Color Statistics in the CIE Lab Space
In this paper we approach the problem of fast surface grading of flat pieces decorated with random patterns. The proposed method is based on the use of global statistics of color ...
Fernando López, José Miguel Valiente...
SIGIR
2010
ACM
15 years 8 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
130
Voted
ANNPR
2006
Springer
15 years 8 months ago
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
Edmondo Trentin
WSCG
2001
137views more  WSCG 2001»
15 years 6 months ago
An Application of Combined Neural Networks to Remotely Sensed Images
Studies in the area of Pattern Recognition have indicated that in most cases a classifier performs differently from one pattern class to another. This observation gave birth to th...
Rafael Valle dos Santos, Marley B. R. Vellasco, Ra...