1583 search results - page 55 / 317 » Stability of Feature Selection Algorithms |
ICCV
2011
IEEE
13 years 12 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
111
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DOCENG
2006
ACM
15 years 5 months ago
2006
ACM
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
108
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KDD
2002
ACM
16 years 7 days ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
112
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
JCP
2006
14 years 11 months ago
2006
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...