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FTSIG
2007
136views more  FTSIG 2007»
15 years 6 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
FGCS
2000
100views more  FGCS 2000»
15 years 6 months ago
Investigating the application of web-based simulation principles within the architecture for a next-generation computer generate
With a heavy emphasis on distribution and reuse, web-based simulation portends a dramatic shift in the application of simulation as a problem-solving technique and decision-suppor...
Ernest H. Page, Jeffrey M. Opper
CDC
2010
IEEE
131views Control Systems» more  CDC 2010»
14 years 10 months ago
State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo...
CASES
2006
ACM
16 years 16 days ago
Mitigating soft error failures for multimedia applications by selective data protection
With advances in process technology, soft errors (SE) are becoming an increasingly critical design concern. Due to their large area and high density, caches are worst hit by soft ...
Kyoungwoo Lee, Aviral Shrivastava, Ilya Issenin, N...
EMSOFT
2008
Springer
15 years 7 months ago
On the interplay of dynamic voltage scaling and dynamic power management in real-time embedded applications
Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two popular techniques commonly employed to save energy in real-time embedded systems. DVS policies aim at red...
Vinay Devadas, Hakan Aydin