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NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 9 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
ICIP
2008
IEEE
14 years 3 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
SSPR
2004
Springer
14 years 2 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
BMCBI
2011
13 years 4 months ago
RAIphy: Phylogenetic classification of metagenomics samples using iterative refinement of relative abundance index profiles
Background: Computational analysis of metagenomes requires the taxonomical assignment of the genome contigs assembled from DNA reads of environmental samples. Because of the diver...
Ozkan U. Nalbantoglu, Samuel F. Way, Steven H. Hin...
ICASSP
2007
IEEE
14 years 3 months ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim