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IPPS
2005
IEEE
15 years 4 months ago
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
Recently, energy has become an important issue in highperformance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is...
Vincent W. Freeh, Feng Pan, Nandini Kappiah, David...
VC
1998
66views more  VC 1998»
14 years 10 months ago
Vertex representations and their applications in computer graphics
The vertex representation, a new data structure for representing and manipulating orthogonal objects, is presented. Both interiors and boundaries of regions are represented implic...
Claudio Esperança, Hanan Samet
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 11 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
NIPS
2007
15 years 17 days ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
SG
2005
Springer
15 years 4 months ago
Knowledge in the Loop: Semantics Representation for Multimodal Simulative Environments
This article describes the integration of knowledge based techniques into simulative Virtual Reality (VR) applications. The approach is motivated ltimodal Virtual Construction as a...
Marc Erich Latoschik, Peter Biermann, Ipke Wachsmu...