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» Fast Feature Selection Using Fractal Dimension
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ICPR
2010
IEEE
13 years 2 months ago
Fractal and Multi-fractal for Arabic Offline Writer Identification
In recent years, fractal and multi-fractal analysis have been widely applied in many domains, especially in the field of image processing. In this direction we present in this pape...
Aymen Chaabouni, Houcine Boubaker, Monji Kherallah...
JDCTA
2010
131views more  JDCTA 2010»
12 years 11 months ago
Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature
An efficient method to segment eyed typhoon from a satellite cloud image is proposed. First, original satellite cloud image is enhanced by gray transform. Second, in order to redu...
Changjiang Zhang, Xiang Zhang, Bo Yang, Ying Li
ICPR
2006
IEEE
13 years 11 months ago
Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems
Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We i...
Alaa El. Sagheer, Naoyuki Tsuruta, Rin-ichiro Tani...
ARCS
2012
Springer
12 years 18 days ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
PRL
2006
180views more  PRL 2006»
13 years 4 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai