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ICASSP
2009
IEEE
15 years 8 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
TSMC
1998
135views more  TSMC 1998»
15 years 3 months ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos
ICIP
2005
IEEE
16 years 6 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
INFOCOM
1993
IEEE
15 years 8 months ago
Queueing Delays in Rate Controlled ATM Networks
This paper addresses the problem of finding the worst case end-to-end delay and buffer occupancy bounds in ATM networks with rate-controlled, non-work conserving servers. A theore...
Anindo Banerjea, Srinivasan Keshav
JSAC
2006
77views more  JSAC 2006»
15 years 4 months ago
Spectral shaping of UWB signals for time-hopping impulse radio
This paper studies the design of signaling waveforms for time-hopping impulse radio (TH-IR) with limits on the power spectral density. Such restrictions are imposed by the spectra...
Yves-Paul Nakache, Andreas F. Molisch