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TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICSOC
2010
Springer
14 years 8 months ago
A Requirement-Centric Approach to Web Service Modeling, Discovery, and Selection
Service-Oriented Computing (SOC) has gained considerable popularity for implementing Service-Based Applications (SBAs) in a flexible and effective manner. The basic idea of SOC i...
Maha Driss, Naouel Moha, Yassine Jamoussi, Jean-Ma...
88
Voted
AGI
2011
14 years 1 months ago
Learning Problem Solving Skills from Demonstration: An Architectural Approach
We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
Haris Dindo, Antonio Chella, Giuseppe La Tona, Mon...
91
Voted
MSWIM
2006
ACM
15 years 3 months ago
Pattern matching based link quality prediction in wireless mobile ad hoc networks
As mobile devices, such as laptops, PDAs or mobile phones, are getting more and more ubiquitous and are able to communicate with each other via wireless technologies, the paradigm...
Károly Farkas, Theus Hossmann, Lukas Ruf, B...
MICCAI
2007
Springer
15 years 10 months ago
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
Polina Golland, Yulia Golland, Rafael Malach