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Reduction of Fixed-Position Noise in Position-Sensitive, Single-Photon Avalanche Diodes

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Noise-enhanced computation in a model of a cortical column

Wulfram Gerstner, Julien Mayor

Varied sensory systems use noise in order to enhance detection of weak signals. It has been conjectured in the literature that this effect, known as stochastic resonance, may take place in central cognitive processes such as memory retrieval of arithmetica ...

Lippincott, Williams & Wilkins2005

Motion likelihood and proposal modeling in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez

Particle filtering is now established as one of the most popular methods for visual tracking. Within this framework, there are two important considerations. The first one refers to the generic assumption that the observations are temporally independent giv ...

IDIAP2004

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

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

Stochastic resonance in pattern recognition by a holographic neuron model

Jonas Buchli

The recognition rate of holographic neural synapses, performing a pattern recognition task, is significantly higher when applied to natural, rather than artificial, images. This shortcoming of artificial images can be largely compensated for, if noise is a ...

2003

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

Confusion matrix based posterior probabilities correction

Hemant Misra

An MLP classifier outputs a posterior probability for each class. With noisy data classification becomes less certain and the entropy of the posteriors distribution tends to increase, therefore providing a measure of classification confidence. However, at ...

IDIAP2002

Low cost duration modelling for noise robust speech recognition

Hervé Bourlard

State transition matrices as used in standard HMM decoders have two widely perceived limitations. One is that the implicit Geometric state duration distributions which they model do not accurately reflect true duration distributions. The other is that they ...

2002

Low cost duration modelling for noise robust speech recognition

Hervé Bourlard

IDIAP2002

Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

This paper addresses the source separation in strong noisy mixtures by wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non- Gaussian noise, which correspond to various applications. The performance of BSS/ICA a ...

2002