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Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

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The Costly Path from Percolation to Full Connectivity

Patrick Thiran, Olivier Dousse

Requiring all nodes of a wireless multihop network to be connected is expensive and results in a poor scalability of properties such as transport capacity. We show however that it is no longer the case if we only slightly loosen the connectivity requiremen ...

2004

Post-processing of scanned 3D surface data

Mark Pauly

3D shape acquisition has become a major tool for creating digital 3D surface data in a variety of application elds. Despite the steady increase in accuracy, most available scanning techniques cause severe scanning artifacts such as noise, outliers, holes, ...

Eurographics Association2004

On the Excitation Wavelength Dependence of the Luminescence Yield of Colloidal CdSe Quantum Dots

Majed Chergui, Frank van Mourik

Absorption and photoluminescence excitation (PLE) spectra were recorded for colloidal CdSe quantum dots of different sizes. No significant deviation between the PLE and the absorption spectra, provided appropriate corrections and sample treatment are made ...

2004

Noise Reduction by Fuzzy Image Filtering

Dimitri Nestor Alice Van De Ville

A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to ...

IEEE2003

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering is now established as one of the most popular method for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states. In this paper ...

IDIAP2003

Multi-objective optimisation of remote community energy systems with consideration of noise disturbance

Daniel Favrat, Xavier Pelet, Geoffrey Basil Leyland

A multi-objective evolutionary algorithm developed at the Laboratory of Industrial Energy Systems is used to determine the best technological solutions to satisfy the electrical needs of a remote community. Simulations of the community are based on a super ...

2003

Robust speech recognition based on multi-stream processing

Astrid Hagen

Despite sophisticated present day automatic speech recognition (ASR) techniques, a single recognizer is usually incapable of accounting for the varying conditions in a typical natural environment. Higher robustness to a range of noise cases can potentially ...

EPFL2002

Sampling signals with finite rate of innovation: the noisy case

Martin Vetterli, Andrea Ridolfi, Irena Maravic

Recently a sampling theorem for a certain class of signals with finite rate of innovation (which includes for example stream of Diracs) has been developed. In essence, such non band-limited signals can be sampled at or above the rate of innovation. In the ...

2002

Entropy-based Multi-stream Combination

Hervé Bourlard, Hemant Misra, Vivek Tyagi

Full-combination multi-band approach has been proposed in the literature and performs well for band-limited noise. But the approach fails to deliver in case of wide-band noise. To overcome this, multi-stream approaches are proposed in literature with varyi ...

IDIAP2002

Noise PDF transformation in secondary feature processing

Motivated by the human ability to maintain a high level of speech recognition when large parts of the spectrogram are masked (i.e. dominated) by noise, the original "missing data" (MD) approach to noise robust speech recognition was based on the paradigm w ...

IDIAP2002