Wrist Angle Measurements using Soft Sensors Daniel M. Vogt and Robert J. Wood Abstract— With new technologies appearing, there are many opportunities to innovate in the field of human-machine interfaces. Motion trackin

Source URL: micro.seas.harvard.edu

Soft Machine: A Personable Interface John Lewis and Patrick Purcell Architecture Machine Group Massachusetts Institute of Technology Cambridge MAABSTRACT

Source URL: www.scribblethink.org

Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation Matthias Huck and Hieu Hoang and Philipp Koehn School of Informatics University of Edinburgh 10 Crichton Street

Source URL: www.aclweb.org

FMP/Thesis First Draft Proposal Title: How can the themes of Database/Soft Cinema and the recent developments in machine learning with recurrent neural networks be combined to form new kinds of narrative? Field of St

Source URL: dl.dropboxusercontent.com

Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g

Source URL: psl.umiacs.umd.edu

• Artificial intelligence
• Probability
• Statistics
• Bayesian statistics
• Markov networks
• Graphical models
• Markov random field
• Probability theory
• Image segmentation
• Probabilistic soft logic
• Activity recognition
• Support vector machine

Decision-Driven Models with Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Stanley Kok Lise Getoor Department of Computer Science University of Maryland, College Park College Park, MD 20742, USA

Source URL: stephenbach.net

• Statistics
• Probability
• Probability theory
• Mathematical analysis
• Statistical models
• Statistical classification
• Machine learning
• Histopathology
• Prostate cancer
• Bayesian probability
• Stochastic process
• Probability distribution

ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC:

Source URL: stephenbach.net

• Statistics
• Machine learning
• Probability
• Statistical models
• Graphical models
• Bayesian statistics
• Markov networks
• Statistical relational learning
• Probabilistic soft logic
• Markov random field
• Structured prediction
• Expectationmaximization algorithm

Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g

Source URL: stephenbach.net

• Artificial intelligence
• Probability
• Statistics
• Bayesian statistics
• Markov networks
• Graphical models
• Markov random field
• Probability theory
• Image segmentation
• Probabilistic soft logic
• Activity recognition
• Support vector machine

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Source URL: www.wjscheirer.com

• Surveillance
• Machine learning
• Biometrics
• Statistical models
• Identification
• Soft biometrics
• Pattern recognition
• Bayesian network
• Bayesian statistics
• Naive Bayes classifier
• Statistical classification
• Multiple Biometric Grand Challenge

TEEN GUIDE Supermarket Savings (cont.)

Source URL: moneytalks4teens.ucanr.edu

• Convenience foods
• Retailing
• Shops
• Fast food
• Vending machine
• Grocery store
• Snack
• Convenience store
• Soft drink
• Food choice
• Candy
• Store brand