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TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICASSP
2009
IEEE
14 years 2 months ago
Using filter banks to enhance images for fluid lens cameras based on color correlation
The novel field of fluid lens cameras introduces unique image processing challenges. Intended for surgical applications, these fluid optics systems have improved miniaturizatio...
Jack Tzeng, Truong Q. Nguyen
JMLR
2010
161views more  JMLR 2010»
13 years 2 months ago
Feature Selection for Text Classification Based on Gini Coefficient of Inequality
A number of feature selection mechanisms have been explored in text categorization, among which mutual information, information gain and chi-square are considered most effective. ...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
CICLING
2005
Springer
14 years 1 months ago
Instance Pruning by Filtering Uninformative Words: An Information Extraction Case Study
In this paper we present a novel instance pruning technique for Information Extraction (IE). In particular, our technique filters out uninformative words from texts on the basis o...
Alfio Massimiliano Gliozzo, Claudio Giuliano, Raff...
DAGM
2006
Springer
13 years 11 months ago
Optimizing Spectral Filters for Single Trial EEG Classification
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classif...
Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyu...