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» Using Classifiers to Solve Warehouse Location Problems
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ESANN
2007
14 years 11 months ago
Ensemble neural classifier design for face recognition
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
Terry Windeatt
ICPR
2004
IEEE
15 years 11 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
ECCV
2006
Springer
15 years 1 months ago
Robust Multi-view Face Detection Using Error Correcting Output Codes
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
Hongming Zhang, Wen Gao, Xilin Chen, Shiguang Shan...
PERCOM
2005
ACM
15 years 9 months ago
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples
WLAN location estimation based on 802.11 signal strength is becoming increasingly prevalent in today's pervasive computing applications. As alternative to the wellestablished...
Xiaoyong Chai, Qiang Yang
EVOW
2004
Springer
15 years 1 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum