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ICML
2009
IEEE
14 years 9 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ICCV
2009
IEEE
15 years 1 months ago
A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
In this paper, we present a novel algorithm for partial intrinsic symmetry detection in 3D geometry. Unlike previous work, our algorithm is based on a conceptually simple and st...
Ruxandra Lasowski, Art Tevs, Hans-Peter Seidel, Mi...
ECCV
2006
Springer
14 years 10 months ago
Differential Geometric Consistency Extends Stereo to Curved Surfaces
Abstract. Traditional stereo algorithms implicitly use the frontal parallel plane assumption when exploiting contextual information, since the smoothness prior biases towards const...
Gang Li, Steven W. Zucker
JSSPP
2005
Springer
14 years 1 months ago
Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling
Real-time applications with security requirements are emerging in various areas including government, education, and business. The security sensitive real-time applications can ta...
Tao Xie 0004, Xiao Qin
PPOPP
2010
ACM
14 years 5 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...