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NIPS
2004
14 years 11 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
14 years 11 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
ICML
2010
IEEE
14 years 10 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»
14 years 9 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»
14 years 9 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...