Automated feature extraction from large cardiac electrophysiological data sets

Feature Extraction from Visual Data Feature Extraction from Visual Data

An Algorithm for Automated Feature Extraction from Laser Ranging Data

An algorithm is presented which extracts features from a time series of Flash LADAR images without a-priori knowledge of the surrounding environment. Flash LADAR utilizes laser ranging to acquire 3D information in the object space, which may be utilized to reconstruct the sensor environment. The extracted features are tested to identify motion artifacts and separate entities into static and non...

Sparse Kernel Orthonormalized PLS for feature extraction in large data sets

We propose a kernel extension of Orthonormalized PLS for feature extraction, within the framework of Kernel Multivariate Analysis (KMVA) KMVA methods have dense solutions and, therefore, scale badly for large datasets By imposing sparsity, we propose a modified KOPLS algorithm with reduced complexity (rKOPLS) The resulting scheme is a powerful feature extractor for regression and classification...

Sparse Kernel Orthonormalized PLS for feature extraction in large data sets

In this paper we are presenting a novel multivariate analysis method for large scale problems. Our scheme is based on a novel kernel orthonormalized partial least squares (PLS) variant for feature extraction, imposing sparsity constrains in the solution to improve scalability. The algorithm is tested on a benchmark of UCI data sets, and on the analysis of integrated short-time music features fo...

Automated extraction of citation data in a large digital library Automated extraction of citation data in a large digital library

The RePEc academic documentation for Economics is the contains the largest distributed digital library in the world. It indexes over 35,000 freely accessible electronic papers is the field of academic Economics. This paper is an intermediate work report on our ongoing efforts to develop an citation linking system for this project. We discuss both technical issues of the construction of the syst...