Concept

Gather/scatter (vector addressing)

Related publications (57)

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.

SOM-based Clustering of Multilingual Documents Using an Ontology

Minh Hai Pham

Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into numerical vectors. In this chapter, we will present a method that uses Self Organizing Map (SOM) to cluster medic ...

Information Science Reference2008

SVM-based Discriminative Accumulation Scheme for Place Recognition

Barbara Caputo

ntegrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable to use multiple cues, possibly from different modalities, so to achieve robust pe ...

2008

Calibration-Free Eye Gaze Direction Detection with Gaussian Processes

Aude Billard, Basilio Noris

In this paper we present a solution for eye gaze detection from a wireless head mounted camera designed for children aged between 6 months and 18 months. Due to the constraints of working with very young children, the system does not seek to be as accurate ...

2008

Développement d’un nez électronique pour l’identification de carcasses à odeur de verrat : Par couplage avec un pyrolyseur ou avec un système de pré-concentration

Michael Amrhein

Ce travail présente une stratégie nouvelle pour la détection des carcasses avec odeur de verrat. Il fait appel à une technique d’analyse globale du type nez électronique, mais surtout il base la modélisation du nez sur des caractéristiques des échantillons ...

2007

Classifying Materials in the Real World

Barbara Caputo

Classifying materials from their appearance is challenging. Impressive results have been obtained under varying illumination and pose conditions. Still, the effect of scale variations and the possibility to generalize across different material samples are ...

IDIAP2007

The More you Learn, the Less you Store: Memory-Controlled Incremental SVM

Barbara Caputo

This paper presents a novel SVM-based algorithm for visual object recognition, capable of learning model representations incrementally. We combine an incremental extension of SVMs with a method which reduces the number of support vectors needed to build th ...

2006

Information Theoretic Combination of Classifiers With Application to Multiple SVMs

Jean-Philippe Thiran, Julien Meynet

Combining several classifiers has proved to be an efficient machine learning technique. Two concepts influence clearly the efficiency of an ensemble: the diversity between classifiers and the individual accuracies of the classifiers. We use an information ...

2006

Prior Knowledge in Kernel Methods

Alexei Pozdnoukhov

Machine Learning is a modern and actively developing field of computer science, devoted to extracting and estimating dependencies from empirical data. It combines such fields as statistics, optimization theory and artificial intelligence. In practical task ...

École Polytechnique Fédérale de Lausanne2006

Prior knowledge in Kernel methods

Alexei Pozdnoukhov

EPFL2006

A Study of the Effects of Score Normalisation Prior to Fusion in Biometric Authentication Tasks

Samy Bengio, Norman Hoon Thian Poh

Although the subject of fusion is well studied, the effects of normalisation prior to fusion are somewhat less well investigated. In this study, four normalisation techniques and six commonly used fusion classifiers were examined. Based on 24 (fusion class ...

IDIAP2004