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» Composite Objective Mirror Descent
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COLT
2010
Springer
13 years 2 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
CRV
2008
IEEE
114views Robotics» more  CRV 2008»
13 years 10 months ago
Multiple View Integration and Display Using Virtual Mirrors
This paper describes a technique, called V-Mirroring, for integrating videos taken from different cameras with different viewpoints of the same scene. The term V-Mirroring stems f...
Carmen E. Au, James J. Clark
CVPR
2009
IEEE
13 years 11 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter
JMMA
2010
90views more  JMMA 2010»
12 years 11 months ago
A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions
An original algorithm is presented that generates both restricted integer compositions and restricted integer partitions that can be constrained simultaneously by a) upper and low...
John Douglas Opdyke
CVPR
2010
IEEE
14 years 11 days ago
Fast Image Alignment in the Fourier Domain
In this paper we propose a framework for gradient descent image alignment in the Fourier domain. Specifically, we propose an extension to the classical Lucas & Kanade (LK) a...
Ahmed Ashraf, Simon Lucey, Tsuhan Chen