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» Minimization of convex functionals over frame operators
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CVPR
2010
IEEE
14 years 4 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
CISIS
2009
IEEE
13 years 7 months ago
Simultaneous Background/Foreground Segmentation and Contour Smoothing with Level Set Based Partial Differential Equation for Int
In this paper, we propose a level set based energy functional, the minimization of which results in simultaneous background modeling, foreground segmentation, and contour smoothin...
Suk Ho Lee, Nam-seok Choi, Byung-Gook Lee, Moon Gi...
ICIP
2004
IEEE
14 years 10 months ago
Rate-distortion optimized streaming for 3-D wavelet video
We propose a rate-distortion optimized framework to stream scalable bitstreams of 3-D wavelet video stored at the sender to a remote receiver. Based on the source rate-distortion ...
Chuo-Ling Chang, Sangeun Han, Bernd Girod
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Fault tolerant control allocation for a thruster-controlled floating platform using parametric programming
— The task in control allocation is to determine how to generate a specified generalized force from a redundant set of control effectors where the associated actuator control in...
Jørgen Spjøtvold, Tor Arne Johansen
ICASSP
2011
IEEE
13 years 25 days ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...