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ICONIP
2004
13 years 9 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ICML
2003
IEEE
14 years 8 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
ICCSA
2007
Springer
14 years 1 months ago
Fast Inter-skip Mode Selection Algorithm for Inter Frame Coding in H.264/AVC
The H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. However, these features inc...
Sung-Hoon Jeon, Sung-Min Kim, Ki-Dong Chung
IJPRAI
2006
114views more  IJPRAI 2006»
13 years 7 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
ICMCS
2006
IEEE
90views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Fast Video Object Selection for Interactive Television
In this paper, we study the problem of the fast selection of video objects, as an aid for the efficient semi-automatic annotation of video programs. In a regular system, the user ...
Rémi Trichet, Bernard Mérialdo