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COMPLEXITY
2010
124views more  COMPLEXITY 2010»
14 years 9 months ago
Spatially embedded dynamics and complexity
To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems we employ a measure of interaction complexity developed within neuroscience us...
Christopher L. Buckley, Seth Bullock, Lionel Barne...
CVPR
2006
IEEE
16 years 1 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICASSP
2009
IEEE
15 years 6 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
APGV
2009
ACM
15 years 6 months ago
On predicting visual popping in dynamic scenes
Popping is a major source of visual artifacts in dynamic scenes. To alleviate or avoid it, usually some temporal smoothing scheme is employed or levels of detail are chosen conser...
Michael Schwarz, Marc Stamminger
MICRO
1992
IEEE
99views Hardware» more  MICRO 1992»
15 years 3 months ago
An investigation of the performance of various dynamic scheduling techniques
An important design decision in the implementation of a superscalar processor is the amount of hardware to allocate to the instruction scheduling mechanism. Dynamic scheduling pro...
Michael Butler, Yale N. Patt