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» Feature selection in a kernel space
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IJCNLP
2005
Springer
14 years 3 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»
14 years 2 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
CAIP
1999
Springer
180views Image Analysis» more  CAIP 1999»
14 years 2 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
ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
14 years 4 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»
13 years 8 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