Publication

Oblivious Sketching of High-Degree Polynomial Kernels

Related publications (68)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Variational Information Maximization in Gaussian Channels

Recently, we introduced a simple variational bound on mutual information, that resolves some of the difficulties in the application of information theory to machine learning. Here we study a specific application to Gaussian channels. It is well known that ...

IDIAP2004

Comparison of m=2, n=1 neo-classical tearing mode limits in JET and DIII-D

Olivier Sauter

Joint experiments have been conducted on JET and DIII-D to study m = 2, n = I neo-classical tearing modes (NTMs). Very similar instability behaviour is observed on both machines and the scaling of the mode island width with beta and the observation of n = ...

2004

Planar arrangement of high-dimensional biomedical data sets by isomap coordinates

Daniel Thalmann, Sofiane Sarni, Pablo Stanislaw De Heras Ciechomski, Ik Soo Lim

This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently We employ the isomap technique, which is based on classical MDS (multi-dimensional scaling) but seeks to preserve the intrins ...

IEEE2003

Planar arrangement of high-dimensional biomedical data sets by Isomap coordinates

Daniel Thalmann, Sofiane Sarni, Pablo Stanislaw De Heras Ciechomski, Ik Soo Lim

This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based on classical MDS (multi-dimensional scaling) but seeks to preserve the intrin ...

Institute of Electrical and Electronics Engineers Computer Society2003

Planar arrangement of high-dimensional biomedical data sets by isomap coordinates

Daniel Thalmann, Sofiane Sarni, Pablo Stanislaw De Heras Ciechomski

IEEE2003

Concurrency Control for Transactional Drago

Jörg Kienzle

The granularity of concurrency control has a big impact on the performance of transactional systems. Concurrency control granu- larity and data granularity (data size) are usually the same. The e ect of this coupling is that if a coarse granularity is used ...

Springer Verlag2002

Covariance Kernels from Bayesian Generative Models

Matthias Seeger

We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task data using Bayesian techniques. We describe an implementation of this framework ...

2002

Multiresolution Moment Filters

Michaël Unser, Michael Sühling, Muthuvel Arigovindan

We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relation, we prove that these moments can be computed very efficiently using a multi ...

IEEE2002

Variational Approach to Tomographic Reconstruction

Michaël Unser, Thierry Blu

We formulate the tomographic reconstruction problem in a variational setting. The object to be reconstructed is considered as a continuous density function, unlike in the pixel-based approaches. The measurements are modeled as linear operators (Radon trans ...

SPIE2001

Mixture models for unsupervised and supervised learning

In a society which produces and consumes an ever increasing amount of information, methods which can make sense out of al1 this data become of crucial importance. Machine learning tries to develop models which can make the information load accessible. Thre ...

EPFL2000