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ICIP
2009
IEEE
14 years 8 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
CHI
2005
ACM
15 years 11 months ago
Resizing beyond widgets: object resizing techniques for immersive virtual environments
The most common technique for resizing 3D objects in virtual environments is the use of 3D widgets. However, such techniques often exhibit usability problems due to difficulties i...
John F. Lucas, Ji-Sun Kim, Doug A. Bowman
WSC
2004
15 years 7 days ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
ICML
2000
IEEE
15 years 11 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
90
Voted
WIMOB
2007
IEEE
15 years 5 months ago
Performance Analysis of Ranging Process in IEEE 802.16e OFDMA Systems
In this paper, ranging process in IEEE 802.16e OFDMA systems is analyzed and performance is evaluated. Ranging process provides initial network entry, uplink synchronization, and ...
Doo Hwan Lee, Hiroyuki Morikawa