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» Sensing-aware classification with high-dimensional data
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ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
14 years 4 months ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...
MICCAI
2005
Springer
14 years 11 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
JMLR
2010
115views more  JMLR 2010»
13 years 5 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
ICTAI
2007
IEEE
14 years 5 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
IGARSS
2009
13 years 8 months ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh