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» On the Hamkins approximation property
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TSP
2010
14 years 4 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen
CVPR
2011
IEEE
14 years 1 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
ICASSP
2011
IEEE
14 years 1 months ago
A spectral approach to recursive end-to-end distortion estimation for sub-pixel motion-compensated video coding
Error resilient video coding critically relies on the accuracy of endto-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is bas...
Jingning Han, Vinay Melkote, Kenneth Rose
STOC
2007
ACM
134views Algorithms» more  STOC 2007»
15 years 10 months ago
Hardness of routing with congestion in directed graphs
Given as input a directed graph on N vertices and a set of source-destination pairs, we study the problem of routing the maximum possible number of source-destination pairs on pat...
Julia Chuzhoy, Venkatesan Guruswami, Sanjeev Khann...

Book
778views
16 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...