Concept
Data processing
Related publications (443)
Adaptive Distributed Algorithms for Power-Efficient Data Gathering in Sensor Networks
Razvan Cristescu, Jugoslava Acimovic
In this work, we consider the problem of designing adaptive distributed processing algorithms in large sensor networks that are efficient in terms of minimizing the total power spent for gathering the spatially correlated data from the sensor nodes to a si ...
2005Statistical and experimental analysis of quantitative PCR
Quantitative PCR (qPCR) is a powerful technique that is now commonly used in many research and clinical laboratories. Although it allows precise quantification of specific DNA sequences, it is often not used at its full potential. A number of data collecti ...
EPFL2005Variational reconstruction of scalar and vector images from non-uniform samples
We address the problem of reconstructing scalar and vector functions from non-uniform data. The reconstruction problem is formulated as a minimization problem where the cost is a weighted sum of two terms. The first data term is the quadratic measure of go ...
EPFL2005Efficient Distributed Multiresolution Processing for Data Gathering in Sensor Networks
Razvan Cristescu, Jugoslava Acimovic
We consider large sensor networks where the cost of collecting data from the network nodes to the data gathering sink is critical.~We propose several algorithms that use limited local communication and distributed signal processing to make communication mo ...
2005Semiparametric Latent Factor Models
We propose a semiparametric model for regression and classification problems involving multiple response variables. The model makes use of a set of Gaussian processes to model the relationship to the inputs in a nonparametric fashion. Conditional dependenc ...
2005Making Statistical Data More Easily Accessible on the Web : Results of the StatSearch Case Study
In this paper we present the results of the StatSearch case study that aimed at providing enhanced access to statistical data available on the Web. In the scope of this case study we developed a prototype of an information access tool combining uerybased s ...
2005Approach To Predict Copolymer Compositions in Case of Variable Monomer Reactivity
Jutta Christine Wandrey, Ignacio Rintoul
An anal. approach to predict copolymer compns. is presented for the particular case that the reactivity of one monomer (B) alters under the influence of one measurable medium parameter. Terpolymn. math. treatment was applied to binary systems (A/B), which ...
2005Tree-Based Pursuit
Pascal Frossard, Pierre Vandergheynst, Philippe Jost
Building good sparse approximations of functions is one of the major themes in approximation theory. When applied to signals, images or any kind of data, it allows to deal with basic building blocks that essentially synthesize all the information at hand. ...
2004Browsing Recorded Meetings with Ferret
Browsing for elements of interest within a recorded meeting is time-consuming. We describe work in progress on a meeting browser, which aims to support this process by displaying many types of data. These include media, transcripts and processing results, ...
IDIAP2004Inertial and 3D-odometry fusion in rough terrain Towards real 3D navigation
Many algorithms related to localization need good pose prediction in order to produce accurate results. This is especially the case for data association algorithms, where false feature matches can lead to the localization system failure. In rough terrain, ...
2004