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CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
14 years 11 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
NIPS
2001
14 years 11 months ago
Boosting and Maximum Likelihood for Exponential Models
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Guy Lebanon, John D. Lafferty
COLT
2007
Springer
15 years 3 months ago
Learning Permutations with Exponential Weights
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
David P. Helmbold, Manfred K. Warmuth
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 3 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer
3DPVT
2006
IEEE
233views Visualization» more  3DPVT 2006»
15 years 3 months ago
Scanline Optimization for Stereo on Graphics Hardware
In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea ...
Christopher Zach, Mario Sormann, Konrad F. Karner