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» An Approach to use Executable Models for Testing
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KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 10 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
CVPR
2008
IEEE
14 years 9 months ago
Face tracking and recognition with visual constraints in real-world videos
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Hen...
ICIP
2006
IEEE
14 years 9 months ago
Extending Single-View Scalable Video Coding to Multi-View Based on H.264/AVC
An extension of single-view scalable video coding to multiview is presented in this paper. Scalable video coding is recently developed in the Joint Video Team of ISO/IEC MPEG and ...
Michael Drose, Carsten Clemens, Thomas Sikora
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
ISVC
2007
Springer
14 years 1 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...