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» Learning Event Durations from Event Descriptions
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CVPR
2008
IEEE
14 years 9 months ago
Estimating age, gender, and identity using first name priors
Recognizing people in images is one of the foremost challenges in computer vision. It is important to remember that consumer photography has a highly social aspect. The photograph...
Andrew C. Gallagher, Tsuhan Chen
IHI
2010
106views Healthcare» more  IHI 2010»
13 years 2 months ago
Identifying opportunities for inpatient-centric technology
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
Meredith M. Skeels, Desney S. Tan
JMLR
2010
137views more  JMLR 2010»
13 years 2 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 7 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
VR
2009
IEEE
156views Virtual Reality» more  VR 2009»
14 years 2 months ago
A Virtual Iraq System for the Treatment of Combat-Related Posttraumatic Stress Disorder
Posttraumatic Stress Disorder (PTSD) is reported to be caused by traumatic events that are outside the range of usual human experience including (but not limited to) military comb...
Shih-Ching Yeh, Brad Newman, Matt Liewer, Jarrell ...