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» A New Method for Computing Optical Flow
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TSMC
2010
13 years 2 months ago
Uncertainty Evaluation Through Mapping Identification in Intensive Dynamic Simulations
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
Yan Wan, Sandip Roy, Bernard C. Lesieutre
SIGGRAPH
2010
ACM
14 years 3 days ago
Manifold bootstrapping for SVBRDF capture
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yan...
ACMDIS
2000
ACM
14 years 11 days ago
PaperButtons: Expanding a Tangible User Interface
: Expanding the functionality of a successful system is always a challenge; the initial simplicity and ease-of-use is easily lost in the process. Experience indicates that this pro...
Elin Rønby Pedersen, Tomas Sokoler, Les Nel...
BMCBI
2006
94views more  BMCBI 2006»
13 years 8 months ago
Genepi: a blackboard framework for genome annotation
Background: Genome annotation can be viewed as an incremental, cooperative, data-driven, knowledge-based process that involves multiple methods to predict gene locations and struc...
Stéphane Descorps-Declère, Danielle ...
PAMI
2010
215views more  PAMI 2010»
13 years 6 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...