C-MAC: Model-driven Concurrent Medium Access Control for Wireless Sensor Networks Mo Sha1 ; Guoliang Xing2 ; Gang Zhou3 ; Shucheng Liu1 ; Xiaorui Wang4 1 City University of Hong Kong, 2 Michigan State University, USA 3 C

Source URL: www.cse.msu.edu

Computer Science Technical Report A Performance Model for Unified Parallel C Zhang Zhang Michigan Technological University

Source URL: www.upc.mtu.edu

• Computing
• Concurrent computing
• Software engineering
• Parallel computing
• Concurrent programming languages
• Programming paradigms
• Unified Parallel C
• Partitioned global address space
• Computer architecture
• Thread
• Parallel programming model
• PGAS

A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition –Supplementary Material– Roozbeh Mottaghi1 , Yu Xiang2,3 , and Silvio Savarese3 1 Allen Institute for AI, 2 University of Michigan-Ann Arbor,

Source URL: yuxng.github.io

Abstract Submitted for the MAR08 Meeting of The American Physical Society Single species victory in a two-site, two-species model of population dispersion JACK WADDELL, Department of Mathematics, University of Michigan,

Source URL: absimage.aps.org

Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Cluster analysis
• Geostatistics
• Stochastic processes
• Data mining
• Image segmentation
• Dirichlet process
• Mixture model
• Correlation clustering

Estimation in High-dimensional Vector Autoregressive Models with Noisy Data Kam Chung Wong1 and Ambuj Tewari2 1 Department of Statistics, University of Michigan, Ann Arbor

Source URL: ctools.umich.edu

• Time series models
• Signal processing
• Econometrics
• Noise
• Vector autoregression
• Autoregressive model
• Value at risk
• Time series
• Vector

Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Statistical theory
• Probability
• Probability distributions
• Stochastic processes
• Dirichlet process
• Bayesian statistics
• Markov chain Monte Carlo
• Mixture distribution
• Statistical inference
• Concentration parameter
• Mixture model

Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Estimation theory
• Stochastic processes
• Statistical models
• Probability distributions
• Cluster analysis
• Mixture model
• Dirichlet process
• Mixture distribution
• Identifiability

Model Thinking: Demographics and Performance of MOOC Students Unable to Afford a Formal Education Tawanna Dillahunt School of Information University of Michigan

Source URL: www.tawannadillahunt.com

Model Thinking: Demographics and Performance of MOOC Students Unable to Afford a Formal Education Tawanna Dillahunt School of Information University of Michigan

Source URL: socialinnovations.us