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» Refactoring Process Models in Large Process Repositories
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ICASSP
2009
IEEE
15 years 11 months ago
A flat direct model for speech recognition
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
ICASSP
2011
IEEE
14 years 8 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 8 months ago
GPU-based island model for evolutionary algorithms
The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensiv...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
CVPR
2004
IEEE
16 years 6 months ago
Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
Vladimir Brajovic
WSC
2001
15 years 5 months ago
Deterministic fluid models of congestion control in high-speed networks
Congestion control algorithms, such as TCP or the closelyrelated additive increase-multiplicative decrease algorithms, are extremely difficult to simulate on a large scale. The re...
Sanjay Shakkottai, R. Srikant