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» Parallel Support Vector Machines: The Cascade SVM
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MICCAI
2006
Springer
14 years 9 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
ICTAI
2006
IEEE
14 years 2 months ago
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chao F...
ICMCS
2005
IEEE
284views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Conditionally Positive Definite Kernels for SVM Based Image Recognition
Kernel based methods such as Support Vector Machine (SVM) have provided successful tools for solving many recognition problems. One of the reason of this success is the use of ker...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
ICASSP
2010
IEEE
13 years 9 months ago
An adaptive real-time descreening method based on SVM and improved SUSAN filter
Scanned halftone images are degraded for the presence of screen patterns. It’s a challenge to automatically detect the halftone images and remove the noises on the fly. This pap...
Xiaohua Duan, Guifeng Zheng, Hongyang Chao
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 8 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...