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CVPR
2010
IEEE
16 years 12 days ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
161
Voted
ICSE
2001
IEEE-ACM
15 years 11 months ago
State, Event, Time and Diagram in System Modeling
The design of complex systems requires powerful mechanisms for modeling state, concurrent events, and real-time behavior; as well as for visualising and structuring systems in ord...
Jin Song Dong
EWC
2000
94views more  EWC 2000»
15 years 6 months ago
A Model for the Flow of Design Information in Product Development
The complexity of modern products and design tools has made the exchange of design information more complex. It is widely recognised that the seamless capture, storage, and retriev...
Steven B. Shooter, Walid Keirouz, Simon Szykman, S...
JSS
2010
136views more  JSS 2010»
15 years 1 months ago
Automated diagnosis of feature model configurations
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
Jules White, David Benavides, Douglas C. Schmidt, ...
ICASSP
2011
IEEE
14 years 10 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...