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PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 12 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
MICCAI
2007
Springer
14 years 8 months ago
LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information
Automated motion reconstruction of the left ventricle (LV) from 3D echocardiography provides insight into myocardium architecture and function. Low image quality and artifacts make...
Andriy Myronenko, Xubo B. Song, David J. Sahn
IJSI
2008
115views more  IJSI 2008»
13 years 7 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
ICPR
2008
IEEE
14 years 2 months ago
Fast and automatic reconstruction of structured illumination microscopy images with multiscale products
In this paper, we propose a new method to reconstruct high resolution images from structured illumination microscopy. It consists of estimating the illumination pattern parameters...
Clovis Tauber, Pedro Felipe Gardeazabal Rodriguez,...
PRICAI
2000
Springer
13 years 11 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst