Concept

Quasiprobability distribution

Publications associées (32)

Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks

Decentralized processing algorithms are attractive alternatives to centralized algorithms for target tracking applications in smart sensor networks since they provide the ability to scale, reduce vulnerability, reduce communication and share processing res ...

Springer Verlag2007

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Using entropy as a stream reliability estimate for audio-visual speech recognition

Jean-Philippe Thiran, Mihai Gurban

We present a method for dynamically integrating audio-visual information for speech recognition, based on the estimated reliability of the audio and visual streams. Our method uses an information theoretic measure, the entropy derived from the state probab ...

2008

Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks

Volkan Cevher

Springer Verlag2007

Evolution of open many-electron systems

Aric Gliesche

Starting from the quantum statistical master equation derived in [1] we show how the connection to the semi-classical Boltzmann equation (SCBE) can be established and how irreversibility is related to the problem of separability of quantum mechanics. Our p ...

EPFL2007

A Monte-Carlo method for initializing distributed tracking algorithms

Volkan Cevher

Distributed processing algorithms are attractive alternatives to centralized algorithms for target tracking applications in sensor networks. In this paper, we determine an initial probability distribution of multiple target states in a distributed manner t ...

2006

Estimating target state distributions in a distributed sensor network using a Monte-Carlo approach

Volkan Cevher

Distributed processing algorithms are attractive alternatives to centralized algorithms for target tracking applications in sensor networks. In this paper, we address the issue of determining a initial probability distribution of multiple target states in ...

2005

Inter-Resolution Transform for Spatially Scalable Video Coding

Pierre Vandergheynst

Spatial scalability of video signals can be achieved with critically sampled spatial wavelet schemes but also with an overcomplete spatial representation. Critically sampled schemes struggle with the problem that critically sampled high-bands are shift-var ...

SPIE2004