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The top documents tagged [high dimensions]

Computer vision: models, learning and inference Chapter 8 Regression
Computer vision: models, learning and inference Chapter 8 Regression
233 views
Quantum information as high-dimensional geometry Patrick Hayden McGill University Perspectives in High Dimensions, Cleveland, August 2010
Quantum information as high-dimensional geometry Patrick Hayden McGill University Perspectives in High Dimensions, Cleveland, August 2010
214 views
Learning Inhomogeneous Gibbs Models Ce Liu celiu@microsoft.com
Learning Inhomogeneous Gibbs Models Ce Liu [email protected]
213 views
High-dimensional integration without Markov chains Alexander Gray Carnegie Mellon University School of Computer Science
High-dimensional integration without Markov chains Alexander Gray Carnegie Mellon University School of Computer Science
215 views
Computer Vision Lab. SNU Young Ki Baik An Introduction to MCMC for Machine Learning (Markov Chain Monte Carlo)
Computer Vision Lab. SNU Young Ki Baik An Introduction to MCMC for Machine Learning (Markov Chain Monte Carlo)
217 views
Monte Carlo uniform sampling of high-dimensional convex polytopes: reducing the condition number with applications in metabolic network analysis Center
Monte Carlo uniform sampling of high-dimensional convex polytopes: reducing the condition number with applications in metabolic network analysis Center
213 views
Multimedia DBs. Multimedia dbs A multimedia database stores text, strings and images Similarity queries (content based retrieval) Given an image find
Multimedia DBs. Multimedia dbs A multimedia database stores text, strings and images Similarity queries (content based retrieval) Given an image find
225 views
Optimal Design Laboratory | University of Michigan, Ann Arbor 2011 Design Preference Elicitation Using Efficient Global Optimization Yi Ren Panos Y. Papalambros
Optimal Design Laboratory | University of Michigan, Ann Arbor 2011 Design Preference Elicitation Using Efficient Global Optimization Yi Ren Panos Y. Papalambros
218 views
Efficient Learning in High Dimensions with Trees and Mixtures Marina Meila Carnegie Mellon University
Efficient Learning in High Dimensions with Trees and Mixtures Marina Meila Carnegie Mellon University
217 views
1 T-invariant Decomposition and the Sign Problem in Quantum Monte Carlo Simulations Congjun Wu Reference: Phys. Rev. B 71, 155115(2005); Phys. Rev. B 70,
1 T-invariant Decomposition and the Sign Problem in Quantum Monte Carlo Simulations Congjun Wu Reference: Phys. Rev. B 71, 155115(2005); Phys. Rev. B 70,
215 views
Stochastic approximate inference Kay H. Brodersen Computational Neuroeconomics Group Department of Economics University of Zurich Machine Learning and
Stochastic approximate inference Kay H. Brodersen Computational Neuroeconomics Group Department of Economics University of Zurich Machine Learning and
215 views
Fast Computational Methods for Visually Guided Robots Maryam Mahdaviani, Nando de Freitas, Bob Fraser and Firas Hamze Department of Computer Science, University
Fast Computational Methods for Visually Guided Robots Maryam Mahdaviani, Nando de Freitas, Bob Fraser and Firas Hamze Department of Computer Science, University
212 views