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GLOBECOM
2010
IEEE
14 years 7 months ago
Network Tomography via Compressed Sensing
In network tomography, we seek to infer link status parameters (such as delay) inside a network through end-toend probe sending between (external) boundary nodes. The main challeng...
Mohammad Hamed Firooz, Sumit Roy
CISS
2008
IEEE
15 years 4 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
CHI
2006
ACM
15 years 10 months ago
Being watched or being special: how I learned to stop worrying and love being monitored, surveilled, and assessed
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
Erica Robles, Abhay Sukumaran, Kathryn Rickertsen,...
FTDCS
2003
IEEE
15 years 3 months ago
Architecture and Operation of an Adaptable Communication Substrate
This paper describes the internal architecture and operation of an adaptable communication component called the MetaSocket. MetaSockets are created using Adaptive Java, a reflect...
Seyed Masoud Sadjadi, Philip K. McKinley, Eric P. ...
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ECCV
2008
Springer
15 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....