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» Feature selection in a kernel space
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83
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IJCNLP
2005
Springer
15 years 6 months ago
Period Disambiguation with Maxent Model
Abstract. This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number o...
Chunyu Kit, Xiaoyue Liu
DEXAW
2007
IEEE
157views Database» more  DEXAW 2007»
15 years 4 months ago
Dimensionality Reduction in a P2P System
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
Mouna Kacimi, Kokou Yétongnon
83
Voted
CAIP
1999
Springer
180views Image Analysis» more  CAIP 1999»
15 years 4 months ago
A Scale-Space Approach to Face Recognition from Profiles
A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, ...
Zdravko Liposcak, Sven Loncaric
107
Voted
ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
15 years 6 months ago
Reduced Complexity Space-Time-Frequency Model for Multi-Channel EEG and Its Applications
— Searching for an efficient summarization of multi-channel electroencephalogram (EEG) behavior is a challenging signal analysis problem. Recently, parallel factor analysis (PAR...
Yodchanan Wongsawat, Soontorn Oraintara, K. R. Rao
PR
2010
186views more  PR 2010»
14 years 11 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang