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ICONIP
2004
15 years 7 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...
VMV
2004
100views Visualization» more  VMV 2004»
15 years 7 months ago
Vector Quantization Based Data Selection for Hand-Eye Calibration
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
NAACL
2003
15 years 7 months ago
Example Selection for Bootstrapping Statistical Parsers
This paper investigates bootstrapping for statistical parsers to reduce their reliance on manually annotated training data. We consider both a mostly-unsupervised approach, co-tra...
Mark Steedman, Rebecca Hwa, Stephen Clark, Miles O...
AAAI
1998
15 years 7 months ago
Branch and Bound Algorithm Selection by Performance Prediction
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
Lionel Lobjois, Michel Lemaître
ICCCN
2007
IEEE
15 years 6 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu