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ICCV
2005
IEEE
16 years 7 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ISAAC
2004
Springer
115views Algorithms» more  ISAAC 2004»
15 years 10 months ago
Randomized Algorithms for Motif Detection
Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g., locating binding sites and regulatory signals, and designing genetic prob...
Lusheng Wang, Liang Dong, Hui Fan
HIS
2008
15 years 6 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 8 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
ICPR
2010
IEEE
15 years 3 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Moncef Gabbouj