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ICML
2010
IEEE
13 years 8 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
WSC
2001
13 years 8 months ago
Using quantile estimates in simulating internet queues with Pareto service times
It is readily apparent how important the Internet is to modern life. The exponential growth in its use requires good tools for analyzing congestion. Much has been written recently...
Martin J. Fischer, Denise M. Bevilacqua Masi, Dona...
AUSAI
2003
Springer
14 years 18 days ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert
CVPR
2011
IEEE
12 years 11 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
ICASSP
2007
IEEE
13 years 9 months ago
Variable Regularized Fast Affine Projections
This paper introduces a variable regularization method for the fast affine projection algorithm (VR-FAP). It is inspired by a recently introduced technique for variable regulariza...
Deepak Challa, Steven L. Grant, Asif Iqbal Mohamma...