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ASIAMS
2008
IEEE
15 years 11 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
BMVC
2002
15 years 7 months ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li
AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
15 years 8 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...
SIGIR
2002
ACM
15 years 4 months ago
Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance
We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retriev...
Jack G. Conrad, Changwen Yang, Joanne S. Claussen
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 5 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih