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INTERSPEECH
2010
14 years 9 months ago
Artificial and online acquired noise dictionaries for noise robust ASR
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
Jort F. Gemmeke, Tuomas Virtanen
NC
1998
140views Neural Networks» more  NC 1998»
15 years 4 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
136
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INFOCOM
2011
IEEE
14 years 6 months ago
Aggregation capacity of wireless sensor networks: Extended network case
—A critical function of wireless sensor networks (WSNs) is data gathering. While, one is often only interested in collecting a relevant function of the sensor measurements at a s...
Cheng Wang, Changjun Jiang, Yunhao Liu, Xiang-Yang...
115
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WSC
2007
15 years 4 months ago
Simulating pandemic influenza risks of US cities
We describe the spatial Agent-Based Computational Laboratory that we have developed to study the pandemic influenza risks of US cities. This research presented a series of interes...
Catherine Dibble, Stephen Wendel, Kristofor Carle
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 2 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright