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» The Convergence of Iterated Classification
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AMC
2006
119views more  AMC 2006»
13 years 11 months ago
Interval iterative methods for computing Moore-Penrose inverse
In this paper, we import interval method to the iteration for computing Moore-Penrose inverse of the full row (or column) rank matrix. Through modifying the classical Newton itera...
Xian Zhang, Jianfeng Cai, Yimin Wei
ECCV
2006
Springer
15 years 24 days ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
ICML
2004
IEEE
14 years 11 months ago
Convergence of synchronous reinforcement learning with linear function approximation
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
Artur Merke, Ralf Schoknecht
TIT
2008
127views more  TIT 2008»
13 years 10 months ago
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality
Abstract--Max-product "belief propagation" (BP) is an iterative, message-passing algorithm for finding the maximum a posteriori (MAP) assignment of a discrete probability...
Mohsen Bayati, Devavrat Shah, Mayank Sharma
ICC
2007
IEEE
112views Communications» more  ICC 2007»
14 years 5 months ago
Multiuser Interference Balancing for General Interference Functions - A Convergence Analysis
Abstract—We address the problem of maximizing the minimum signal-to-interference ratio (SIR) in a multiuser system. In the context of resource allocation, this is referred to as ...
Holger Boche, Martin Schubert