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DAGM
2010
Springer
15 years 1 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
JMLR
2006
80views more  JMLR 2006»
15 years 1 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
PAMI
2010
238views more  PAMI 2010»
14 years 12 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
IJIIDS
2008
201views more  IJIIDS 2008»
15 years 1 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
ICPADS
2010
IEEE
14 years 11 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...