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» Intelligent Feature Extraction for Ensemble of Classifiers
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IEEEICCI
2003
IEEE
14 years 4 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
14 years 2 months ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...
CHI
2011
ACM
13 years 2 months ago
Identifying emotional states using keystroke dynamics
The ability to recognize emotions is an important part of building intelligent computers. Emotionally-aware systems would have a rich context from which to make appropriate decisi...
Clayton Epp, Michael Lippold, Regan L. Mandryk
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
12 years 1 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
CVIU
2004
152views more  CVIU 2004»
13 years 10 months ago
Detecting image orientation based on low-level visual content
Accurately and automatically detecting image orientation is of great importance in intelligent image processing. In this paper, we present automatic image orientation detection al...
Yongmei Michelle Wang, HongJiang Zhang