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» Computational Model of Speech Understanding
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114
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NIPS
1998
15 years 5 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
129
Voted
COMPUTER
2002
89views more  COMPUTER 2002»
15 years 3 months ago
A Pattern for Softcoded Values
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
Michael R. Blaha, Cheryl Smith
155
Voted
CHI
2000
ACM
15 years 8 months ago
Providing integrated toolkit-level support for ambiguity in recognition-based interfaces
Interfaces based on recognition technologies are used extensively in both the commercial and research worlds. But recognizers are still error-prone, and this results in human perf...
Jennifer Mankoff, Scott E. Hudson, Gregory D. Abow...
158
Voted
CVPR
2012
IEEE
13 years 6 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
142
Voted
RTSS
2007
IEEE
15 years 10 months ago
An Energy-Driven Design Methodology for Distributing DSP Applications across Wireless Sensor Networks
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...