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JMLR
2012
11 years 10 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
IJCNN
2007
IEEE
14 years 1 months ago
On Extending the SMO Algorithm Sub-Problem
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
ICIC
2007
Springer
14 years 1 months ago
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-h...
Shih-Hsin Chen, Pei-Chann Chang, Chien-Lung Chan, ...
FPGA
1995
ACM
149views FPGA» more  FPGA 1995»
13 years 11 months ago
PathFinder: A Negotiation-based Performance-driven Router for FPGAs
Routing FPGAs is a challenging problem because of the relative scarcity of routing resources, both wires and connection points. This can lead either to slow implementations caused...
Larry McMurchie, Carl Ebeling
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
13 years 7 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness