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BMVC
2010
14 years 10 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ISBI
2007
IEEE
15 years 6 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
NAS
2010
IEEE
14 years 10 months ago
Label-Based DV-Hop Localization Against Wormhole Attacks in Wireless Sensor Networks
Node localization becomes an important issue in the wireless sensor network as its broad applications in environment monitoring, emergency rescue and battlefield surveillance, et...
Junfeng Wu, Honglong Chen, Wei Lou, Zhibo Wang, Zh...
IJAR
2010
130views more  IJAR 2010»
14 years 10 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
CAV
2009
Springer
171views Hardware» more  CAV 2009»
16 years 13 days ago
CalFuzzer: An Extensible Active Testing Framework for Concurrent Programs
Active testing has recently been introduced to effectively test concurrent programs. Active testing works in two phases. It first uses predictive off-the-shelf static or dynamic pr...
Pallavi Joshi, Mayur Naik, Chang-Seo Park, Koushik...