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» Anomaly Detection Using Visualization and Machine Learning
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TCSV
2011
14 years 4 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
15 years 3 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...
MOBISYS
2009
ACM
15 years 10 months ago
Sensor selection for energy-efficient ambulatory medical monitoring
Epilepsy affects over three million Americans of all ages. Despite recent advances, more than 20% of individuals with epilepsy never achieve adequate control of their seizures. Th...
Eugene Shih, Ali H. Shoeb, John V. Guttag
CLEAR
2006
Springer
145views Biometrics» more  CLEAR 2006»
15 years 1 months ago
A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars
We present the IBM systems submitted and evaluated within the CLEAR'06 evaluation campaign for the tasks of single person visual 3D tracking (localization) and 2D face trackin...
Gerasimos Potamianos, ZhenQiu Zhang
SIGSOFT
2008
ACM
15 years 10 months ago
Finding programming errors earlier by evaluating runtime monitors ahead-of-time
Runtime monitoring allows programmers to validate, for instance, the proper use of application interfaces. Given a property specification, a runtime monitor tracks appropriate run...
Eric Bodden, Patrick Lam, Laurie J. Hendren