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A Cartesian Ensemble Of Feature Subspace Classifiers For Music Categorization

Thomas Lidy, Rudolf Mayer, Andreas Rauber, Pedro J. Ponce De León, Antonio Pertusa, José Manuel Iñesta Quereda
2010 Zenodo  
CARTESIAN ENSEMBLE SYSTEM Our approach is name a cartesian ensemble because the set of models used as base classifiers is the cartesian product of D feature subspaces by C classification schemes.  ...  The feature extraction stage provides multiple viewpoints on music objects, called feature subspaces. There are several ways of combining them for building a music classification system.  ... 
doi:10.5281/zenodo.1415597 fatcat:cexqdobrnvhwpbmlxtvakdzhji

Automatic Music Genre Classification of Audio Signals with Machine Learning Approaches

Dhanith Chathuranga, Lakshman Jayaratne
2013 GSTF International Journal on Computing  
The increase of the music databases on the personal collection and the Internet has brought a great demand for music information retrieval, and especially automatic musical genre classification.  ...  This ensemble approach show that it is possible to improve the classification accuracy by using different types of domain based audio features.  ...  Using late fusion rules for combining classifiers outcomes, they have created a Cartesian classifier which is two dimensional ensemble systems and it combines different feature subspaces from different  ... 
doi:10.7603/s40601-013-0014-0 fatcat:x4g4qj53mjdw5gg3jyg2wkpx5m

Automatic Music Genre Classification of Audio Signals with Machine Learning Approaches

Y.M.D. Chathuranga, K.L. Jayaratne
2013 GSTF International Journal on Computing  
The increase of the music databases on the personal collection and the Internet has brought a great demand for music information retrieval, and especially automatic musical genre classification.  ...  This ensemble approach show that it is possible to improve the classification accuracy by using different types of domain based audio features.  ...  Using late fusion rules for combining classifiers outcomes, they have created a Cartesian classifier which is two dimensional ensemble systems and it combines different feature subspaces from different  ... 
doi:10.5176/2251-3043_3.2.251 fatcat:b4rf2324qbg5vlzb2sbgjwjxce

A Survey of Evaluation in Music Genre Recognition [chapter]

Bob L. Sturm
2014 Lecture Notes in Computer Science  
This paper compiles a bibliography of work in MGR, and analyzes three aspects of evaluation: experimental designs, datasets, and figures of merit.  ...  Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic data, and other modalities.  ...  This work is supported in part by: Independent Postdoc Grant 11-105218 from Det Frie Forskningsråd; and the Danish Council for Strategic Research of the Danish Agency for Science Technology and Innovation  ... 
doi:10.1007/978-3-319-12093-5_2 fatcat:uekcticb4jfmlkvcxs7mehcgoi

A Survey of Sound Source Localization with Deep Learning Methods [article]

Pierre-Amaury Grumiaux, Srđan Kitić, Laurent Girin, Alexandre Guérin
2022 arXiv   pre-print
Tables summarizing the literature survey are provided at the end of the paper for a quick search of methods with a given set of target characteristics.  ...  This article is a survey on deep learning methods for single and multiple sound source localization.  ...  Acknowledgements This work was funded by the French Association for Technological Research (ANRT CIFRE contract 2019/0533) and partially funded by the Multidisciplinary Institute in Artificial Intelligence  ... 
arXiv:2109.03465v3 fatcat:tq5vmgikwrenlbqba4lrqo3pee

Introduction [chapter]

2016 Music Data Analysis  
This series aims to foster the integration between the computer sciences and statistical, numerical, and probabilistic methods by publishing a broad range of reference works, textbooks, and handbooks.  ...  The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other.  ...  Such Continuous features can also be transformed to categorical ones, e.g., if required for a classifier.  ... 
doi:10.1201/9781315370996-5 fatcat:avooqogcpnbjngqmzuonil3exq

Analyzing sound tracings

Kristian Nymoen, Baptiste Caramiaux, Mariusz Kozak, Jim Torresen
2011 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies - MIRUM '11  
Features for realtime use are also discussed related to the development of a new motion-based musical instrument: The SoundSaber.  ...  A toolbox for storing and streaming music-related data is presented.  ...  Other features describe an entire object; for instance, the mean acceleration of an action or the categorical labelling of a sound object as 'pitched'.  ... 
doi:10.1145/2072529.2072541 dblp:conf/mm/NymoenCKT11 fatcat:dey4sbskxvhbfhned4vlmei76e

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm.  ...  A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution.  ...  Cluster Oriented Ensemble Classifier 378, Yuanchun Zhu, Guyue Mi and Ying Tan, Query Based Hybrid Learning Models for Adaptively Adjusting Locality 521, Yong Liu, New Discoveries in Balanced Ensemble  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Sentiment Analysis [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Algorithms The simplest categorization of algorithms for learning stream classifiers makes a distinction between single classifiers and ensembles.  ...  , for example, for online shopping or to download music.  ...  That is, this solution does not refer to any specific set of domain objects, such as City D f paris, berlin, londong, but rather it provides a solution for all possible domain ob-S pCase.driveS.t; c 1  ... 
doi:10.1007/978-1-4899-7687-1_100512 fatcat:ce4yyqo2czftzcx2kbauglh3fu

Spike-Timing-Dependent Plasticity [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
Algorithms The simplest categorization of algorithms for learning stream classifiers makes a distinction between single classifiers and ensembles.  ...  , for example, for online shopping or to download music.  ...  That is, this solution does not refer to any specific set of domain objects, such as City D f paris, berlin, londong, but rather it provides a solution for all possible domain ob-S pCase.driveS.t; c 1  ... 
doi:10.1007/978-1-4899-7687-1_774 fatcat:2jprihjaxfbtpb3ttwuuz3u34y

Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly  ...  We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology.  ...  This vector of confidence labels can be exploited to rank relevant images in case of a keyword search. A confidence based dynamic ensemble of SVM classifiers is used for annotation in ].  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

MARVEL - D3.1: Multimodal and privacy-aware audio-visual intelligence – initial version

Alexandros Iosifidis
2022 Zenodo  
as methodologies for improving the training and efficiency of AI models under supervised, unsupervised, and cross-modal contrastive learning settings.  ...  This document describes the initial version of the methodologies pro- posed by MARVEL partners towards the realisation of the Audio, Visual and Multimodal AI Subsystem of the MARVEL architecture.  ...  Part of the needed computations was implemented on a GPU donated from NVIDIA to K. Drossos.  ... 
doi:10.5281/zenodo.6821317 fatcat:eia7rkk5lfbg7khs3qcat5qd3m

Introduction to Smart Antennas

Constantine A. Balanis, Panayiotis I. Ioannides
2007 Synthesis Lectures on Antennas  
Mosig and A. Skrivervik, and their graduate student I. In advance, we apologize for any omissions; they are not intentional.  ...  Acknowledgments The authors would like to express their sincere appreciation for the cooperation, suggestions, generous contributions and supply of information by many of the authors of papers from which  ...  The approach of MUSIC, and other subspace-based methods, is to first estimate the dominant subspace of the observations, and then find the elements of A that are in some sense closest to this subspace.  ... 
doi:10.2200/s00079ed1v01y200612ant005 fatcat:crh7v55hd5gp3h3obyb65sf2sa

Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

Mohammad-Hassan Tayarani-Najaran, Michael Schmuker
2021 Frontiers in Neural Circuits  
We also provide a survey of the literature covering neuromorphic sensing and signal processing in all three modalities.  ...  Our aim is to facilitate research in event-based sensing and signal processing by providing a comprehensive overview of the research performed previously as well as highlighting conceptual advantages,  ...  AUTHOR CONTRIBUTIONS Both authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fncir.2021.610446 pmid:34135736 pmcid:PMC8203204 fatcat:qjvv6czzufazthcyvs7go5pnj4

Machine Learning, Neural, and Statistical Classification

John F. Elder IV, Donald Michie, David J. Spiegelhalter, Charles C. Taylor
1996 Journal of the American Statistical Association  
A problem in object recognition is to find a method of distinguishing 3D objects within a 2D image by application of an ensemble of shape feature extractors to the 2D silhouettes of the objects.  ...  Given a tree Apart from the features described above (which are more relevant to the version of NewID used for StatLog), NewID has a number of other features.  ...  This is an essential feature of inverse resolution since there may be terms in a theory that are not explicitly shown in an example and may have to be invented by the learning program.  ... 
doi:10.2307/2291432 fatcat:mg6mr2lvjnczphrzq4t3iqjoay
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