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» Sensitivity of trust-region algorithms to their parameters
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IJCV
2006
206views more  IJCV 2006»
13 years 7 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
ICMLA
2008
13 years 8 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
CIARP
2009
Springer
13 years 11 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
ICML
2006
IEEE
14 years 8 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
BIBE
2007
IEEE
150views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
Differential Scoring for Systolic Sequence Alignment
Systolic implementations of dynamic programming solutions that utilize a similarity matrix can achieve appreciable performance with both course- and fine-grain parallelization. A ...
Antonio E. de la Serna