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» Dimensionality Reduction for Classification
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MICCAI
2010
Springer
15 years 1 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
INTERSPEECH
2010
14 years 9 months ago
Combining five acoustic level modeling methods for automatic speaker age and gender recognition
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...
Ming Li, Chi-Sang Jung, Kyu Jeong Han
CVPR
2011
IEEE
14 years 6 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
DAGSTUHL
2010
15 years 4 months ago
Generalized Hyper-cylinders: a Mechanism for Modeling and Visualizing N-D Objects
The display of surfaces and solids has usually been restricted to the domain of scientific visualization; however, little work has been done on the visualization of surfaces and s...
Matthew O. Ward, Zhenyu Guo
BMCBI
2008
148views more  BMCBI 2008»
15 years 3 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan