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» Feature Selection for Support Vector Machines
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GBRPR
2009
Springer
14 years 2 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 1 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
ICIP
2006
IEEE
14 years 9 months ago
Estimating Illumination Chromaticity via Kernel Regression
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
Vivek Agarwal, Andrei V. Gribok, Andreas Koschan, ...
INCDM
2009
Springer
199views Data Mining» more  INCDM 2009»
14 years 2 months ago
Driver-Moderator Method for SKU Sales Forecasting
We develop a method to forecast stock keeping unit sales that is accurate, transparent and consistent in handling similar situations. We leverage the marketing literature to define...
Özden Gür Ali
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
13 years 11 months ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...