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TRS
2008
13 years 7 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
ICIP
1999
IEEE
14 years 9 months ago
A Fast Image Registration Technique for Motion Artifact Reduction in DSA
In digital subtraction angiography (DSA), patient motion is the primary cause of image quality degradation. The motion correction algorithms developed so far were not sufficiently...
Erik H. W. Meijering, Karel J. Zuiderveld, Wiro J....
ISQED
2007
IEEE
135views Hardware» more  ISQED 2007»
14 years 1 months ago
MARS-S: Modeling and Reduction of Soft Errors in Sequential Circuits
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we use...
Natasa Miskov-Zivanov, Diana Marculescu
CAIP
2005
Springer
121views Image Analysis» more  CAIP 2005»
14 years 1 months ago
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
Krzysztof Kucharski, Wladyslaw Skarbek, Miroslaw B...
TWC
2010
13 years 2 months ago
A Reduced-Complexity PTS-Based PAPR Reduction Scheme for OFDM Systems
In this paper, a reduced-complexity partial transmit sequences (PTS) scheme is proposed to resolve the intrinsic high peak-to-average power ratio (PAPR) problem of orthogonal frequ...
Sheng-Ju Ku, Chin-Liang Wang, Chiuan-Hsu Chen