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ICCV
1999
IEEE
16 years 6 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Ermdclime: Enabling Real-time Multimedia Discussion for Collaborative Learning in Mobile Environment
With the aid of mobile technology, it’s possible to carry out collaborative learning (CL) in any places at any time. And the most essential and effective way to achieve this goa...
Xin Xiao, Yuanchun Shi, Nan Zhang
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 8 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
ETS
2000
IEEE
121views Hardware» more  ETS 2000»
15 years 4 months ago
Increasing Access to Learning With Hybrid Audio-Data Collaboration
Internet enabled hybrid audio-data collaboration delivers high quality audio over telephone lines and data interaction over packet switched Internet connections, thus distributing...
Michael W. Freeman, Lawrence W. Grimes, J. Ray Hol...
SIGCSE
2009
ACM
149views Education» more  SIGCSE 2009»
16 years 5 months ago
GINI: a user-level toolkit for creating micro internets for teaching & learning computer networking
GINI (GINI Is Not Internet) is an open-source toolkit for creating virtual micro Internets for teaching and learning computer networking. It provides lightweight virtual elements ...
Muthucumaru Maheswaran, Alexis Malozemoff, Daniel ...