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» Resampling methods for input modeling
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126
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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 1 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
138
Voted
ICWSM
2009
15 years 1 months ago
Compositionality Principle in Recognition of Fine-Grained Emotions from Text
The recognition of personal emotional state or sentiment conveyed through text is the main task we address in our research. The communication of emotions through text messaging an...
Alena Neviarouskaya, Helmut Prendinger, Mitsuru Is...
150
Voted
IHI
2010
109views Healthcare» more  IHI 2010»
14 years 10 months ago
Process-based derivation of requirements for medical devices
One goal of medical device certification is to show that a given medical device satisfies its requirements. The requirements that should be met by a device, however, depend on the...
Heather M. Conboy, George S. Avrunin, Lori A. Clar...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
127
Voted
CVPR
2007
IEEE
16 years 5 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury