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TIT
2010
174views Education» more  TIT 2010»
13 years 3 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
TITS
2010
201views Education» more  TITS 2010»
13 years 3 months ago
A Review of the Applications of Agent Technology in Traffic and Transportation Systems
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of largescale distributed systems to deal with the uncertainty in a dynamic...
Bo Chen, Harry H. Cheng
ICCV
2011
IEEE
12 years 8 months ago
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...
JSW
2006
89views more  JSW 2006»
13 years 8 months ago
Towards a Mathematical Foundation for Service-Oriented Applications Design
Abstract-- Leveraging service oriented programming paradigm would significantly affect the way people build software systems. However, to achieve this goal a solid software design ...
Aliaksei Yanchuk, Alexander Ivanyukovich, Maurizio...
ICIAP
1999
ACM
14 years 28 days ago
Cellular Automata Based Optical Flow Computation for "Just-in-Time" Applications
Real-world tasks often require real-time performances. However, in many practical cases, “just in time” responses are sufficient. This means that a system should be efficien...
Giovanni Adorni, Stefano Cagnoni, Monica Mordonini