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...
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...
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...
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...
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...