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107
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NIPS
2004
15 years 4 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
NIPS
1993
15 years 3 months ago
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
Justin A. Boyan, Michael L. Littman
146
Voted
ICML
2010
IEEE
15 years 3 months ago
An Analysis of the Convergence of Graph Laplacians
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...
Daniel Ting, Ling Huang, Michael I. Jordan
IJNSEC
2008
98views more  IJNSEC 2008»
15 years 2 months ago
A New General Transparency Model for Block-based Watermarking Method
Blocking artifact is one of the main drawbacks of the block-based watermarking method. Though a number of researches on "transparent" digital watermarking system have be...
Fangjun Huang
TCSV
2008
120views more  TCSV 2008»
15 years 2 months ago
A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection
Abstract--This paper proposes a parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm and applied to the SLAM (...
Vanderlei Bonato, Eduardo Marques, George A. Const...