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» The Kernel Trick for Distances
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SMA
2009
ACM
208views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Accelerating geometric queries using the GPU
We present practical algorithms for accelerating geometric queries on models made of NURBS surfaces using programmable Graphics Processing Units (GPUs). We provide a generalized f...
Adarsh Krishnamurthy, Sara McMains, Kirk Haller
SIGCSE
2010
ACM
186views Education» more  SIGCSE 2010»
14 years 2 months ago
Teaching operating systems using virtual appliances and distributed version control
Students learn more through hands-on project experience for computer science courses such as operating systems, but providing the infrastructure support for a large class to learn...
Oren Laadan, Jason Nieh, Nicolas Viennot
LCPC
2004
Springer
14 years 29 days ago
Empirical Performance-Model Driven Data Layout Optimization
Abstract. Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of l...
Qingda Lu, Xiaoyang Gao, Sriram Krishnamoorthy, Ge...
ICML
2010
IEEE
13 years 8 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...