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» A Generative Model Based Approach to Motion Segmentation
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DATE
2006
IEEE
111views Hardware» more  DATE 2006»
15 years 11 months ago
Functional test generation using property decompositions for validation of pipelined processors
Functional validation is a major bottleneck in pipelined processor design. Simulation using functional test vectors is the most widely used form of processor validation. While exi...
Heon-Mo Koo, Prabhat Mishra
NIPS
2004
15 years 6 months ago
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaa...
CLADE
2008
IEEE
15 years 11 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
NLE
2008
77views more  NLE 2008»
15 years 5 months ago
Generating basic skills reports for low-skilled readers
We describe SkillSum, a Natural Language Generation (NLG) system that generates a personalised feedback report for someone who has just completed a screening assessment of their b...
Sandra Williams, Ehud Reiter
CVPR
2008
IEEE
16 years 7 months ago
Superpixel lattices
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Ideally, every pixel within each superpixel region will be...
Alastair P. Moore, Simon Prince, Jonathan Warrell,...