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TSP
2010
15 years 1 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
RTSS
2009
IEEE
16 years 1 months ago
Multi-Channel Interference Measurement and Modeling in Low-Power Wireless Networks
Abstract—Multi-channel design has received significant attention for low-power wireless networks (LWNs), such as 802.15.4-based wireless sensor networks, due to its potential of...
Guoliang Xing, Mo Sha, Jun Huang, Gang Zhou, Xiaor...
TACAS
2004
Springer
108views Algorithms» more  TACAS 2004»
15 years 12 months ago
Model Checking Discounted Temporal Properties
Temporal logic is two-valued: formulas are interpreted as either true or false. When applied to the analysis of stochastic systems, or systems with imprecise formal models, tempor...
Luca de Alfaro, Marco Faella, Thomas A. Henzinger,...
ICCV
1999
IEEE
16 years 8 months ago
Higher Order Statistical Learning for Vehicle Detection in Images
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order...
A. N. Rajagopalan, Philippe Burlina, Rama Chellapp...
ICCV
2007
IEEE
16 years 26 days ago
Cortical Folding Development Study based on Over-Complete Spherical Wavelets
We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed surfaces. Bi-orthogonal spherical wavelets have been shown to be powerful tools in the seg...
Peng Yu, B. T. Thomas Yeo, P. Ellen Grant, Bruce F...