Publications related to Complex normal distribution

A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems

This article introduces a new measure of travel time reliability for implementation in the dynamic routing algorithm of an intelligent car navigation system. The measure is based on the log-normal distribution of travel time on a link and consists of two i ...

Taylor & Francis2008

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Hervé Bourlard, Guillermo Aradilla

Posterior probabilities of sub-word units have been shown to be an effective front-end for ASR. However, attempts to model this type of features either do not benefit from modeling context-dependent phonemes, or use an inefficient distribution to estimate ...

IDIAP2008

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper provides new results on computing simultaneous sparse approximations of multichannel signals over redundant dictionaries using two greedy algorithms. The first one, p-thresholding, selects the S atoms that have the largest

p

-correlation while ...

2008

Liver receptor homolog 1 is essential for ovulation

Johan Auwerx, Kristina Schoonjans, Chikage Mataki

Female fertility requires normal ovarian follicular growth and ovulation. The nuclear receptor liver receptor homolog 1 has been implicated in processes as diverse as bile acid metabolism, steroidogenesis, and cell proliferation. In the ovary, Lrh1 is expr ...

2008

Quantifying hydrological modeling errors through a mixture of normal distributions

André Musy, Bettina Schaefli

Bayesian inference of posterior parameter distributions has become widely used in hydrological modeling to estimate the associated modeling uncertainty. The classical underlying statistical model assumes a Gaussian modeling error with zero mean and a given ...

2007

Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions

Alexander Bahr

Trilateration is a technique for position estimation from range measurements which is often used in robot navigation. Most applications assume that there is no error associated with the landmarks used for trilateration. In cooperative navigation, in which ...

2007

Regional climate model data used within the SWURVE project. 2: Addressing uncertainty in regional climate model data for five European case study areas

Abdelkader Mezghani

To aid assessments of climate change impacts on water related activities in the case study regions (CSRs) of the EC funded project SWURVE, estimates of uncertainty in climate model data need to be developed. In this paper, two methods to estimate uncertain ...

2007

Time-Varying Segmentation for Mapping of Land Cover Changes

Jean-Philippe Thiran, Meritxell Bach Cuadra, François Aspert

Among all satellite imaging systems, Synthetic Aperture Radar (SAR) is useful for monitoring purposes, as they provide data at any time under all weather conditions. Today, three spaceborne SAR systems are operational, while by the end of 2007 three furthe ...

2007

A Laplace mixture model for the identification of differential expression in microarrays

Anthony Christopher Davison, Darlene Goldstein, Yann Ruffieux

Microarrays have become an important tool for studying the molecular basis of complex disease traits and fundamental biological processes. A common purpose of microarray experiments is the detection of genes that are differentially expressed under two cond ...

2006

The Distributed Karhunen-Loève Transform

Martin Vetterli, Michael Christoph Gastpar, Pier Luigi Dragotti

The Karhunen–Loève transform (KLT) is a key ele- ment of many signal processing and communication tasks. Many recent applications involve distributed signal processing, where it is not generally possible to apply the KLT to the entire signal; rather, the K ...

2006

Complex normal distribution

Graph Chatbot

Chat with Graph Search

A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Liver receptor homolog 1 is essential for ovulation

Quantifying hydrological modeling errors through a mixture of normal distributions

Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions

Regional climate model data used within the SWURVE project. 2: Addressing uncertainty in regional climate model data for five European case study areas

Time-Varying Segmentation for Mapping of Land Cover Changes

A Laplace mixture model for the identification of differential expression in microarrays

The Distributed Karhunen-Loève Transform

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems

Liver receptor homolog 1 is essential for ovulation

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms

Quantifying hydrological modeling errors through a mixture of normal distributions

Time-Varying Segmentation for Mapping of Land Cover Changes

A Laplace mixture model for the identification of differential expression in microarrays

Minimizing Trilateration Errors in the Presence of Uncertain Landmark Positions

Regional climate model data used within the SWURVE project. 2: Addressing uncertainty in regional climate model data for five European case study areas

The Distributed Karhunen-Loève Transform