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CVPR
2010
IEEE
16 years 3 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
HICSS
2009
IEEE
134views Biometrics» more  HICSS 2009»
16 years 1 months ago
Bridging Socio-Technical Capital in an Online Learning Environment
This work is based on the premise that online learning environments can potentially help develop communities of scholars by enabling participants to discover persons and resources...
Daniel D. Suthers, Kar-Hai Chu, Samuel Joseph
CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
16 years 1 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
SASO
2008
IEEE
16 years 1 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...