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» Pattern Recognition Using Functions of Multiple Instances
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IJCAI
1989
14 years 10 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
MVA
2000
172views Computer Vision» more  MVA 2000»
14 years 11 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
CIARP
2007
Springer
15 years 3 months ago
Confusion Matrix Disagreement for Multiple Classifiers
We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventiona...
Cinthia Obladen de Almendra Freitas, João M...
ICSOC
2007
Springer
15 years 3 months ago
Pattern Based SOA Deployment
Abstract. A key function of a Service Oriented Architecture is the separation between business logic and the platform of its implementation and deployment. Much of the focus in SOA...
William Arnold, Tamar Eilam, Michael H. Kalantar, ...
PRL
2002
128views more  PRL 2002»
14 years 9 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...