317 search results - page 7 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
SSPR
2004
Springer
15 years 2 months ago
2004
Springer
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
ESANN
2007
14 years 11 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
IWANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features with two m...
ACL
2008
14 years 11 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...