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20112025
most citedSparse Vector Distributions and Recovery from Compressed Sensing

12 citations

5 papers

cs.LG2025★ 3 cited

Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification

Gissel Velarde, Tillman Weyde, David Meredith

The aim of this study is to evaluate a machine-learning method in which symbolic representations of folk songs are segmented and classified into tune families with Haar-wavelet fil…

cs.HC2024★ 9 cited

Cymatics Cup: Shape-Changing Drinks by Leveraging Cymatics

Weijen Chen, Yang Yang, Kao-Hua Liu +3

To enhance the dining experience, prior studies in Human-Computer Interaction (HCI) and gastrophysics have demonstrated that modifying the static shape of solid foods can amplify t…

cs.SD2019

Bayesian Pitch Tracking Based on the Harmonic Model

Liming Shi, Jesper Kjaer Nielsen, Jesper Rindom Jensen +2

Fundamental frequency is one of the most important characteristics of speech and audio signals. Harmonic model-based fundamental frequency estimators offer a higher estimation accu…

cs.IR2016★ 5 cited

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks

Nattiya Kanhabua, Huamin Ren, Thomas B. Moeslund

People often use a web search engine to find information about events of interest, for example, sport competitions, political elections, festivals and entertainment news. In this p…

cs.DS2011★ 12 cited

Sparse Vector Distributions and Recovery from Compressed Sensing

Bob L. Sturm

It is well known that the performance of sparse vector recovery algorithms from compressive measurements can depend on the distribution underlying the non-zero elements of a sparse…