Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review
YVS Murthy, SG Koolagudi - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …
an automated tool to extract the useful information from these tracks. As this information has …
Are we ready for learned cardinality estimation?
Cardinality estimation is a fundamental but long unresolved problem in query optimization.
Recently, multiple papers from different research groups consistently report that learned …
Recently, multiple papers from different research groups consistently report that learned …
Synopses for massive data: Samples, histograms, wavelets, sketches
Abstract Methods for Approximate Query Processing (AQP) are essential for dealing with
massive data. They are often the only means of providing interactive response times when …
massive data. They are often the only means of providing interactive response times when …
[PDF][PDF] Similarity search in high dimensions via hashing
The nearest-or near-neighbor query problems arise in a large variety of database
applications, usually in the context of similarity searching. Of late, there has been increasing …
applications, usually in the context of similarity searching. Of late, there has been increasing …
Models and issues in data stream systems
In this overview paper we motivate the need for and research issues arising from a new
model of data processing. In this model, data does not take the form of persistent relations …
model of data processing. In this model, data does not take the form of persistent relations …
Knowledge discovery from data streams
J Gama, PP Rodrigues, E Spinosa… - Web Intelligence and …, 2010 - ebooks.iospress.nl
In the last two decades, machine learning research and practice has focused on batch
learning, usually with small datasets. Nowadays there are applications in which the data are …
learning, usually with small datasets. Nowadays there are applications in which the data are …
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining,
which have shown to be very effective and usually outperform horizontal approaches. The …
which have shown to be very effective and usually outperform horizontal approaches. The …
[图书][B] Handbook of approximation algorithms and metaheuristics
TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
Deep learning models for selectivity estimation of multi-attribute queries
Selectivity estimation-the problem of estimating the result size of queries-is a fundamental
problem in databases. Accurate estimation of query selectivity involving multiple correlated …
problem in databases. Accurate estimation of query selectivity involving multiple correlated …
A comparative study on content-based music genre classification
Content-based music genre classification is a fundamental component of music information
retrieval systems and has been gaining importance and enjoying a growing amount of …
retrieval systems and has been gaining importance and enjoying a growing amount of …