Learning content similarity for music recommendation
B McFee, L Barrington… - IEEE transactions on audio …, 2012 - ieeexplore.ieee.org
Many tasks in music information retrieval, such as recommendation, and playlist generation
for online radio, fall naturally into the query-by-example setting, wherein a user queries the …
for online radio, fall naturally into the query-by-example setting, wherein a user queries the …
A novel machine learning based feature selection for motor imagery EEG signal classification in Internet of medical things environment
Abstract In Internet of Medical Things (IoMT) environment, feature selection is an efficient
way of identifying the most discriminant health-related features from the original feature-set …
way of identifying the most discriminant health-related features from the original feature-set …
Effect of post-stroke spasticity on voluntary movement of the upper limb
Background Hemiparesis following stroke is often accompanied by spasticity. Spasticity is
one factor among the multiple components of the upper motor neuron syndrome that …
one factor among the multiple components of the upper motor neuron syndrome that …
Texture classification by modeling joint distributions of local patterns with Gaussian mixtures
Texture classification generally requires the analysis of patterns in local pixel
neighborhoods. Statistically, the underlying processes are comprehensively described by …
neighborhoods. Statistically, the underlying processes are comprehensively described by …
Content-Based Musical Similarity Computation using the Hierarchical Dirichlet Process.
MD Hoffman, DM Blei, PR Cook - ISMIR, 2008 - books.google.com
We develop a method for discovering the latent structure in MFCC feature data using the
Hierarchical Dirichlet Process (HDP). Based on this structure, we compute timbral similarity …
Hierarchical Dirichlet Process (HDP). Based on this structure, we compute timbral similarity …
Compounding general purpose membership functions for fuzzy support vector machine under noisy environment
Fuzzy support vector machine (FSVM) is accepted as a significant addition over soft margin
SVM like C-SVM, because the latter gives suboptimal results in the presence of outliers …
SVM like C-SVM, because the latter gives suboptimal results in the presence of outliers …
Estimating verbal expressions of task and social cohesion in meetings by quantifying paralinguistic mimicry
MC Nanninga, Y Zhang… - Proceedings of the 19th …, 2017 - dl.acm.org
In this paper we propose a novel method of estimating verbal expressions of task and social
cohesion by quantifying the dynamic alignment of nonverbal behaviors in speech. As team …
cohesion by quantifying the dynamic alignment of nonverbal behaviors in speech. As team …
Fast estimation of Gaussian mixture models for image segmentation
The expectation maximization algorithm has been classically used to find the maximum
likelihood estimates of parameters in probabilistic models with unobserved data, for …
likelihood estimates of parameters in probabilistic models with unobserved data, for …
Model selection and application to high-dimensional count data clustering: via finite EDCM mixture models
EDCM, the Exponential-family approximation to the Dirichlet Compound Multinomial (DCM),
proposed by Elkan (2006), is an efficient statistical model for high-dimensional and sparse …
proposed by Elkan (2006), is an efficient statistical model for high-dimensional and sparse …