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A Multi-Profile Method for Key Estimation in EDM

A Faraldo, S. Jordà, P. Herrera
2017 Zenodo  
In this paper, we present an algorithm that improves the performance of an existing method by introducing a system of multiple profiles, addressing difficult minor tracks as well as possibly amodal ones  ...  Key detection in electronic dance music is important for producers and DJ's who want to mix their tracks harmonically or organise their music collection by tonal content.  ...  Conclusions In this paper, we presented a modification of an existing algorithm for key detection in EDM.  ... 
doi:10.5281/zenodo.3855498 fatcat:ul2k6tfz4zcrjin2bjkgf5stwm

Key Estimation in Electronic Dance Music [chapter]

Ángel Faraldo, Emilia Gómez, Sergi Jordà, Perfecto Herrera
2016 Lecture Notes in Computer Science  
In this paper we study key estimation in electronic dance music, an umbrella term referring to a variety of electronic music subgenres intended for dancing at nightclubs and raves.  ...  We start by defining notions of tonality and key before outlining the basic architecture of a template-based key estimation method.  ...  Method For this study, we gathered a collection of complete EDM tracks with a single key estimation per item.  ... 
doi:10.1007/978-3-319-30671-1_25 fatcat:e3kzox7tcbhl7owlytd7uqru5y

Tonality Estimation In Electronic Dance Music: A Computational And Musically Informed Examination

Ángel Faraldo, Sergi Jordà, Perfecto Herrera
2018 Zenodo  
Last, I describe my own key finding methods, adapting existing models to the musical idiosyncrasies and tonal distributions of electronic dance music, with new statistical key profiles derived from the  ...  This dissertation revolves around the task of computational key estimation in electronic dance music, upon which three interrelated operations are performed.  ...  A trip companion, and after these four years, a friend. Thank you so very much for trusting. At this point my narration reaches its end.  ... 
doi:10.5281/zenodo.1154586 fatcat:fqd24dcqlvhflcsluwpja2x4zu

Automatic musical key estimation with adaptive mode bias

Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes
2017 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
In this paper we present the INESC Key Detection (IKD) system which incorporates a novel method for dynamically biasing key mode estimation using the spatial displacement of beat-synchronous Tonal Interval  ...  We evaluate the performance of the IKD system at finding the global key on three annotated audio datasets and using three key-defining profiles.  ...  element is the use of its diatonic pitch set and chords, we define a method for estimating the global key of a musical example, Rmin, in the Tonal Interval Space by finding the minimum in a function which  ... 
doi:10.1109/icassp.2017.7952169 dblp:conf/icassp/BernardesDG17 fatcat:zwxd73ezjrh3tjvf76xu37zs3e

Fluid Dynamics in Electrode Flushing Channel and Electrode-Workpiece Gap During EDM Drilling

M. Kliuev, C. Baumgart, K. Wegener
2018 Procedia CIRP  
Evacuation of removed material is a key limitation factor in EDM drilling, as debris particles remaining in the gap between electrode and workpiece could reattach to the workpiece or cause ineffective  ...  In this work, the influence of drilling conditions to the pressure drop and dielectric flow during EDM drilling is investigated analytically and through computational fluid dynamics (CFD) simulations.  ...  Acknowledgements This study has been provided with the financial support of the Commission for Technology and Innovation CTI, Switzerland.  ... 
doi:10.1016/j.procir.2017.12.058 fatcat:xmyzraceuzhljkcgys4e2qqimq

Craniofacial Landmark Detection by Layered Diffusion and Dilated Skeleton Maps

Lihong Ma, Shengmin Jiang, Yu Zhang, Chunyi Lin, Hanqing Lu
2006 2006 9th International Conference on Control, Automation, Robotics and Vision  
This paper proposed a new method for cephalogram landmark location.  ...  Secondly, key landmarks were determined via binarization pixel-cliques which were formed by Euclidean distance maps (EDM) on dilated skeleton.  ...  In this paper, we propose a new multi-scale method for craniofacial landmark detection, which mainly contributes in the following aspects: 1) Significant method for layered structure formation.  ... 
doi:10.1109/icarcv.2006.345374 dblp:conf/icarcv/MaJZLL06 fatcat:ssb2776ud5ak7e2mgwuvrxcn5e

Intelligent hybrid approaches for ensuring better prediction of gas-assisted EDM responses

Nishant K. Singh, Rajeev Kumar Upadhyay, Yashvir Singh, Abhishek Sharma
2020 SN Applied Sciences  
In this study, inert gas-based EDM with a multi-hole rotating tool has been carried out.  ...  In particular, the assertion of this work is that modified algorithms such as ANFIS-GA and ANFIS-PSO are an efficient and productive approach to accurate EDM response estimation.  ...  It has a variety of uses in the molding, die-making, and machining of parts with complicated profiles.  ... 
doi:10.1007/s42452-020-2654-y fatcat:znblag46k5f4tdzharnbzrpri4

Educational data mining: A survey and a data mining-based analysis of recent works

Alejandro Peña-Ayala
2014 Expert systems with applications  
One key finding is: most of the EDM approaches are ground on a basic set composed by three kinds of educational systems, disciplines, tasks, methods, and algorithms each.  ...  A profile of the EDM works was organized as a raw data base, which was transformed into an ad-hoc data base suitable to be mined.  ...  Moreover, a special mention is given to Leonor Adriana Cárdenas Robledo, who fulfilled a valueable task during the research, as well as Mr.  ... 
doi:10.1016/j.eswa.2013.08.042 fatcat:4ce647o5j5gwnm46gmilw3chg4

Sparse estimation for structural variability

Raghavendra Hosur, Rohit Singh, Bonnie Berger
2011 Algorithms for Molecular Biology  
estimation problem.  ...  In addition to improved performance over existing methods, the algorithm is robust to the levels of noise present in real data.  ...  Hosur for insightful discussions. This publication was made possible by Grant Number 1R01GM081871 from the National Institute of General Medical Sciences.  ... 
doi:10.1186/1748-7188-6-12 pmid:21504605 pmcid:PMC3101643 fatcat:oc45jrpfjfbafovgfuzizu72s4

Sparse Estimation for Structural Variability [chapter]

Raghavendra Hosur, Rohit Singh, Bonnie Berger
2010 Lecture Notes in Computer Science  
estimation problem.  ...  In addition to improved performance over existing methods, the algorithm is robust to the levels of noise present in real data.  ...  Hosur for insightful discussions. This publication was made possible by Grant Number 1R01GM081871 from the National Institute of General Medical Sciences.  ... 
doi:10.1007/978-3-642-15294-8_2 fatcat:m26ymwenr5d7jo3lhx5s6nfrwq

Locating the Nodes from Incomplete Euclidean Distance Matrix using Bayesian Learning

Bo Xue, Linghua Zhang, Yang Yu, Weiping Zhu
2019 IEEE Access  
A Bayesian-learning-based method is utilized to recover the original EDM, based on which the relative positions of all the sensor nodes in WSNs are accurately estimated by applying classical multi-dimensional  ...  In this paper, using the natural low-rank properties of the Euclidean distance matrix (EDM), we formulate the node location finding problem from only a small fraction of random entries of the EDM as a  ...  The theoretical guarantees have been proven for multi-dimensional scaling (MDS) [6] , which can find the best point set representation for a given set of distances.  ... 
doi:10.1109/access.2019.2904843 fatcat:eojkmlza4rbundl7zq32xhb5ke

Estimation of Machining Performances Using MRA, GMDH and Artificial Neural Network in Wire EDM of EN-31

G. Ugrasen, H.V. Ravindra, G.V. Naveen Prakash, R. Keshavamurthy
2014 Procedia Materials Science  
This study outlines the development of model and its application to estimation of machining performances using Multiple Regression Analysis (MRA), Group Method Data Handling Technique (GMDH) and Artificial  ...  Three responses namely accuracy, surface roughness, volumetric material removal rate have been considered for each experiment.  ...  Computational method for numerical control (NC) of travelling wire electric discharge machining (EDM) operation from geometric representation of a desired cut profile in terms of its contours.  ... 
doi:10.1016/j.mspro.2014.07.209 fatcat:as6cugu32fewnbrufwtw6mpf34

The State of Educational Data Mining in 2009: A Review and Future Visions

Ryan S.J.d. Baker, Kalina Yacef
2009 Zenodo  
We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community.  ...  The most cited papers in EDM between 1995 and 2005 are listed, and their influence on the EDM community (and beyond the EDM community) is discussed.  ...  ACKNOWLEDGEMENTS We thank Cristobal Romero and Sebastian Ventura for their excellent review in 2005 of the state of Educational Data Mining, which influenced our article -and the fieldconsiderably.  ... 
doi:10.5281/zenodo.3554657 fatcat:7irwme6cybd2rkb3cbuxab4ysi

Evidence-centered Design for Diagnostic Assessment within Digital Learning Environments: Integrating Modern Psychometrics and Educational Data Mining

Andre A. Rupp, Rebecca Nugent, Brian Nelson
2012 Zenodo  
It consists of a series of five papers: one conceptual paper on ECD, three applied case studies that use ECD and EDM tools, and one simulation study that relies on ECD for its design and EDM for its implementation  ...  In this introduction, we discuss the underlying rationales for the special issue in more detail, provide a short introduction to ECD, and describe the focus of the five selected papers.  ...  information, for deriving proficiency estimates.  ... 
doi:10.5281/zenodo.3554639 fatcat:yy3p54ah75gmzhmw3srqxst6le

Learning mutational graphs of individual tumor evolution from multi-sample sequencing data [article]

Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna
2017 bioRxiv   pre-print
Here, we improve over those methods with TRaIT, a unified statistical framework for the inference of the accumulation order of multiple types of genomic alterations driving tumor development.  ...  Most of these methods rely on the well-known infinite sites assumption, and are limited to process either multi-region or single-cell sequencing data.  ...  This work was partially supported by the SysBioNet project, a Ministero dell'Istruzione, dell'Universitá e della Ricerca initiative for the Italian Roadmap of European Strategy Forum on Research Infrastructures  ... 
doi:10.1101/132183 fatcat:nu3ts3lmwnanlfr5bpzs5z3dju
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