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» Training Linear Discriminant Analysis in Linear Time
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NIPS
2004
14 years 11 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
HAPTICS
2005
IEEE
15 years 3 months ago
The Maxima Haptics Package -- A Tool for Symbolic Analysis of Haptics and Teleoperation
The Maxima Haptics Package is a free software package for symbolic analysis of linear models of haptic devices and teleoperators. From a mechanical model of the haptic device, the...
Göran A. V. Christiansson
CDC
2008
IEEE
160views Control Systems» more  CDC 2008»
15 years 4 months ago
Analysis of sampled-data interconnected systems
Abstract— In this paper, we consider the sampled-data problem of interconnected systems, specifically, time- and spaceinvariant systems. Our main contribution is to provide suf...
Chun Zhang, Geir E. Dullerud
ICIAR
2004
Springer
15 years 3 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 5 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick