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ICCV
2009
IEEE
16 years 8 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
MICCAI
2002
Springer
16 years 4 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
128
Voted
CVPR
2008
IEEE
15 years 10 months ago
View and scale invariant action recognition using multiview shape-flow models
Actions in real world applications typically take place in cluttered environments with large variations in the orientation and scale of the actor. We present an approach to simult...
Pradeep Natarajan, Ram Nevatia
140
Voted
GLOBECOM
2007
IEEE
15 years 10 months ago
Efficient TCAM Encoding Schemes for Packet Classification Using Gray Code
—Packet classification is an enabling function in Internet routers for a variety of Internet applications. In order to classify Internet packets into flows, Internet routers must...
Yeim-Kuan Chang, Cheng-Chien Su
112
Voted
IPPS
2006
IEEE
15 years 10 months ago
ReConfigME: a detailed implementation of an operating system for reconfigurable computing
Reconfigurable computing applications have traditionally had the exclusive use of the field programmable gate array, primarily because the logic densities of the available devices...
Grant B. Wigley, David A. Kearney, Mark Jasiunas