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» A New Method for ECG Signal Feature Extraction
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140
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TNN
1998
121views more  TNN 1998»
15 years 3 months ago
Detection of mines and minelike targets using principal component and neural-network methods
— This paper introduces a new system for real-time detection and classification of arbitrarily scattered surface-laid mines from multispectral imagery data of a minefield. The ...
Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, A. C. ...
136
Voted
IPMU
2010
Springer
15 years 2 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
ICMI
2000
Springer
217views Biometrics» more  ICMI 2000»
15 years 7 months ago
Offline Handwritten Chinese Character Recognition Using Optimal Sampling Features
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...
Rui Zhang, Xiaoqing Ding
DAGM
2006
Springer
15 years 6 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt
141
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Action recognition using spatio-temporal regularity based features
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
Taylor Goodhart, Pingkun Yan, Mubarak Shah