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Stochastic Models and Techniques for Sparse Signals

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Stochastic Models and Techniques for Sparse Signals

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Collaboration in the Production of a Massively Multilingual Lexicon

Using out-of-language data to improve an under-resourced speech recognizer

Evaluating Efficient Data Collection Algorithms for Environmental Sensor Networks

Symbolic Representation of Smart Meter Data

Using out-of-language data to improve an under-resourced speech recognizer

Stochastic Models for Sparse and Piecewise-Smooth Signals

SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories

Investigations on modeling BRIR tails with filtered and coherence-matched noise

The combined use of radio-frequency electromagnetics and radiomagnetotellurics methods in non-ideal field conditions for delineating hydrogeological boundaries and for environmental problems

Graphical display for annual climate-based daylight simulation

Using out-of-language data to improve an under-resourced speech recognizer

SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories

Using out-of-language data to improve an under-resourced speech recognizer

Graphical display for annual climate-based daylight simulation

Collaboration in the Production of a Massively Multilingual Lexicon

The combined use of radio-frequency electromagnetics and radiomagnetotellurics methods in non-ideal field conditions for delineating hydrogeological boundaries and for environmental problems

Investigations on modeling BRIR tails with filtered and coherence-matched noise

Evaluating Efficient Data Collection Algorithms for Environmental Sensor Networks

Symbolic Representation of Smart Meter Data

Stochastic Models for Sparse and Piecewise-Smooth Signals