Projected Outputs Y ′ = YV Projection matrices (2008)
Orthonormalized Pls, Jerónimo Arenas-garcía, Gustavo Camps-valls, Hughes Phenomenon, X Xu
Feature selection/extraction is essential before classification or regression in remote sensing. High number of correlated features leads to:
Optimal filtering of dynamics in shorttime features for music organization (2008)
Jerónimo Arenas-garcía, Jan Larsen, Lars Kai Hansen, Anders Meng
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Informatics and Mathematical Modelling (2008)
Tue Lehn-schiøler, Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plugin for a popular media...
Multivariate Analysis and Kernel Methods for Music Data Analysis (2008)
Jerónimo Arenas-garcía, Anders Meng, Kaare Br, T Petersen, Lars Kai Hansen
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Abstract Fast Evaluation of Neural Networks via Confidence Rating ⋆ (2008)
Jerónimo Arenas-garcía, Vanessa Gómez-verdejo
Neural Networks have become very useful tools for input-output knowledge discov-ery. However, some of the most powerful schemes require very complex machines, and thus a large amount of calculation....
Plant Identification via Adaptive Combination of LMS Filters (2008)
Jerónimo Arenas-garcía, Manel Martínez-ramón, Ángel Navia-vázquez, Jerónimo Arenas-garcía, Manel Martínez-ramón, ...
For least mean-square (LMS) algorithm applications, it is important to improve the speed of convergence vs the residual error trade-off imposed by the selection of a certain value for the step size....
An on-line Fisher discriminant (2008)
Manuel Ortega-moral, Vanessa Gómez-verdejo, Jerónimo Arenas-garcía
Abstract. Many applications in signal processing need an adaptive algorithm. Adaptive schemes are useful when the statistics of the problem are unknown or when facing varying environments....
Optimal filtering of dynamics in shorttime features for music organization (2008)
Jerónimo Arenas-garcía, Jan Larsen, Lars Kai Hansen, Anders Meng
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Vanessa Gómez-verdejo, Manuel Ortega-moral, Jerónimo Arenas-garcía
by weighting boundary and erroneous
UNVEILING MUSIC STRUCTURE VIA PLSA SIMILARITY FUSION (2008)
Nowadays there is an increasing interest in developing methods for building music recommendation systems. In order to get a satisfactory performance from such a system, one needs to incorporate as...
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets (2007)
Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
In this paper we are presenting a novel multivariate analysis method. Our scheme is based on a novel kernel orthonormalized partial least squares (PLS) variant for feature extraction, imposing...
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets (2007)
Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
In this paper we are presenting a novel multivariate analysis method. Our scheme is based on a novel kernel orthonormalized partial least squares (PLS) variant for feature extraction, imposing...
Multivariate Analysis and Kernel Methods for Music Data Analysis (2006)
Arenas-García, Jerónimo, Meng, Anders, Brandt Petersen, Kaare, Kai Hansen, Lars
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...