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» Feature Extraction Using ICA
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ICPR
2002
IEEE
14 years 10 months ago
Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
Minoru Mori, Minako Sawaki, Norihiro Hagita
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 3 months ago
Evaluation of Prosodic and Voice Quality Features on Automatic Extraction of Paralinguistic Information
- Aiming to realize a non-verbal communication between humans and robots, the use of acoustic parameters related with voice quality features, besides classical prosodic features, i...
Carlos Toshinori Ishi, Hiroshi Ishiguro, Norihiro ...
BMCBI
2010
132views more  BMCBI 2010»
13 years 9 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
ICIP
2005
IEEE
14 years 10 months ago
Feature extraction of non-stained melanocyte cells
We present a procedure that extracts detailed morphological measurements from human melanocyte cells. The cells and imaging condition have the following characteristics: (i) no im...
Ralf Kemkemer, Giovanni G. Estrada, D. Kaufmann, D...
CBMS
2006
IEEE
14 years 3 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...