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UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
CVIU
2007
121views more  CVIU 2007»
15 years 7 months ago
Vision-based hand pose estimation: A review
Direct use of the hand as an input device is an attractive method for providing natural human–computer interaction (HCI). Currently, the only technology that satisfies the adva...
Ali Erol, George Bebis, Mircea Nicolescu, Richard ...
TMC
2008
164views more  TMC 2008»
15 years 7 months ago
Coupons: A Multilevel Incentive Scheme for Information Dissemination in Mobile Networks
Integrating mobile computing and localized user interaction into the Internet requires more than simply overcoming pure routing challenges. Apart from issues such as intermittent c...
Anargyros Garyfalos, Kevin C. Almeroth
ETS
2000
IEEE
182views Hardware» more  ETS 2000»
15 years 6 months ago
Conferencing in communities of learners: examples from social history and science communication
A commonly encountered view of computer conferencing focuses on peer interaction, student empowerment and a shift in both teacher and student roles. This paper argues that this vi...
Ann C. Jones, Eileen Scanlon, Canan Tosunoglu Blak...
NECO
2010
136views more  NECO 2010»
15 years 5 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton