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ICPR
2006
IEEE
14 years 10 months ago
Fast Support Vector Machine Classification using linear SVMs
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
ICCAD
2006
IEEE
100views Hardware» more  ICCAD 2006»
14 years 6 months ago
Faster, parametric trajectory-based macromodels via localized linear reductions
— Trajectory-based methods offer an attractive methodology for automated, on-demand generation of macromodels for custom circuits. These models are generated by sampling the stat...
Saurabh K. Tiwary, Rob A. Rutenbar
ICC
2008
IEEE
142views Communications» more  ICC 2008»
14 years 3 months ago
End-to-End Outage Probability Minimization in OFDM Based Linear Multi-Hop Networks
Abstract— This paper is concerned with the end-to-end transmission outage in an OFDM based wireless multi-hop network. The network consists of a source node, a destination node, ...
Xiaolu Zhang, Meixia Tao, Wenhua Jiao, Chun Sum Ng
WADS
2001
Springer
86views Algorithms» more  WADS 2001»
14 years 1 months ago
Practical Approximation Algorithms for Separable Packing Linear Programs
Abstract. We describe fully polynomial time approximation schemes for generalized multicommodity flow problems arising in VLSI applications such as Global Routing via Buffer Block...
Feodor F. Dragan, Andrew B. Kahng, Ion I. Mandoiu,...
SBRN
2000
IEEE
14 years 1 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...