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» From Human Knowledge to Process Models
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112
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ICCV
2005
IEEE
15 years 9 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
162
Voted
KNINVI
2005
Springer
15 years 9 months ago
Concept Maps: Integrating Knowledge and Information Visualization
Information visualization has been a research topic for many years, leading to a mature field where guidelines and practices are well established. Knowledge visualization, in contr...
Alberto J. Cañas, Roger Carff, Greg Hill, M...
160
Voted
TMI
2010
208views more  TMI 2010»
14 years 10 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
ICTAI
2005
IEEE
15 years 9 months ago
A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated b
Telemedicine is a mean of facilitating the distribution of human resources and professional competences. It can speed up diagnosis and therapeutic care delivery and allow peripher...
Cédric Rose, Cherif Smaili, François...
158
Voted
ISBI
2011
IEEE
14 years 7 months ago
Skull-stripping with deformable organisms
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
Gautam Prasad, Anand A. Joshi, Paul M. Thompson, A...