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TSP
2010
14 years 11 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
ICASSP
2011
IEEE
14 years 8 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
CACM
2011
134views more  CACM 2011»
14 years 8 months ago
Brain-computer interfaces for communication and control
For many years people have speculated that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for s...
Dennis J. McFarland, Jonathan R. Wolpaw
AAAI
2011
14 years 4 months ago
Modeling and Monitoring Crop Disease in Developing Countries
Information about the spread of crop disease is vital in developing countries, and as a result the governments of such countries devote scarce resources to gathering such data. Un...
John Alexander Quinn, Kevin Leyton-Brown, Ernest M...
CVPR
1998
IEEE
16 years 6 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...