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» Application Performance of a Linux Cluster Using Converse
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VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 2 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
14 years 2 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...
DAGM
2010
Springer
13 years 8 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...
PC
2010
177views Management» more  PC 2010»
13 years 6 months ago
Parallel graph component labelling with GPUs and CUDA
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
SC
2000
ACM
14 years 2 days ago
Distributed Rendering for Scalable Displays
We describe a novel distributed graphics system that allows an application to render to a large tiled display. Our system, called WireGL, uses a cluster of off-the-shelf PCs conne...
Greg Humphreys, Ian Buck, Matthew Eldridge, Pat Ha...