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Singer Identification Using Deep Timbre Feature Learning with KNN-Net
In this paper, we study the issue of automatic singer identification (SI...
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Frequency-Temporal Attention Network for Singing Melody Extraction
Musical audio is generally composed of three physical properties: freque...
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Generalized non-stationary bandits
In this paper, we study a non-stationary stochastic bandit problem, whic...
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Optimal network online change point localisation
We study the problem of online network change point detection. In this s...
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From Additive Average Schwarz Methods to Non-overlapping Spectral Additive Schwarz Methods
In this paper, we design and analyze new methods based on Additive Avera...
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Functional Linear Regression with Mixed Predictors
We study a functional linear regression model that deals with functional...
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MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio?
We introduce the music Ternary Modalities Dataset (MTM Dataset), which i...
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Automatic Neural Lyrics and Melody Composition
In this paper, we propose a technique to address the most challenging as...
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A review on minimax rates in change point detection and localisation
This paper reviews recent developments in fundamental limits and optimal...
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Localizing Changes in High-Dimensional Regression Models
This paper addresses the problem of localizing change points in high-dim...
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Conditional Hybrid GAN for Sequence Generation
Conditional sequence generation aims to instruct the generation procedur...
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Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation
In this paper, we propose and analyze the sparsity-aware sign subband ad...
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PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
Fashion is an important part of human experience. Events such as intervi...
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Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics
Sheet music, audio, and lyrics are three main modalities during writing ...
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Localising change points in piecewise polynomials of general degrees
In this paper we are concerned with a sequence of univariate random vari...
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Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes
High-dimensional self-exciting point processes have been widely used in ...
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Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs
Graph matching is a fruitful area in terms of both algorithms and theori...
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A Note on Online Change Point Detection
Online change point detection is originated in sequential analysis, whic...
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End-to-end Named Entity Recognition from English Speech
Named entity recognition (NER) from text has been a widely studied probl...
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C3VQG: Category Consistent Cyclic Visual Question Generation
Visual Question Generation (VQG) is the task of generating natural quest...
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Music Artist Classification with WaveNet Classifier for Raw Waveform Audio Data
Models for music artist classification usually were operated in the freq...
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Comparison for Improvements of Singing Voice Detection System Based on Vocal Separation
Singing voice detection is the task to identify the frames which contain...
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Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Powerful generative adversarial networks (GAN) have been developed to au...
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Change point localization in dependent dynamic nonparametric random dot product graphs
In this paper, we study the change point localization problem in a seque...
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Optimal nonparametric multivariate change point detection and localization
We study the multivariate nonparametric change point detection problem, ...
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Localizing Changes in High-Dimensional Vector Autoregressive Processes
Autoregressive models capture stochastic processes in which past realiza...
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Conditional LSTM-GAN for Melody Generation from Lyrics
Melody generation from lyrics has been a challenging research issue in t...
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Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
Deep learning has successfully shown excellent performance in learning j...
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Personalized Music Recommendation with Triplet Network
Since many online music services emerged in recent years so that effecti...
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Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
Cross-modal retrieval aims to retrieve data in one modality by a query i...
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Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation
Frequent group activities of human beings have become an indispensable p...
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Radio Frequency Fingerprint Identification Based on Denoising Autoencoders
Radio Frequency Fingerprinting (RFF) is one of the promising passive aut...
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Optimal nonparametric change point detection and localization
We study change point detection and localization for univariate data in ...
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Ensemble Super-Resolution with A Reference Dataset
By developing sophisticated image priors or designing deep(er) architect...
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Spectral Analysis of High-dimensional Time Series
A useful approach for analysing multiple time series is via characterisi...
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Univariate Mean Change Point Detection: Penalization, CUSUM and Optimality
The problem of univariate mean change point detection and localization b...
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Event History Analysis of Dynamic Communication Networks
Statistical analysis on networks has received growing attention due to d...
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Optimal Change Point Detection and Localization in Sparse Dynamic Networks
We study the problem of change point detection and localization in dynam...
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Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
In Intelligent Tutoring System (ITS), tracing the student's knowledge st...
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Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Face hallucination is a technique that reconstruct high-resolution (HR) ...
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Deep Learning of Human Perception in Audio Event Classification
In this paper, we introduce our recent studies on human perception in au...
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Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Most of the current face hallucination methods, whether they are shallow...
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Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data
In this work, travel destination and business location are taken as venu...
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Link prediction for interdisciplinary collaboration via co-authorship network
We analyse the Publication and Research (PURE) data set of University of...
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Confidence intervals for high-dimensional Cox models
The purpose of this paper is to construct confidence intervals for the r...
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Optimal Covariance Change Point Detection in High Dimension
We study the problem of change point detection for covariance matrices i...
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Towards Deep Modeling of Music Semantics using EEG Regularizers
Modeling of music audio semantics has been previously tackled through le...
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Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval
Little research focuses on cross-modal correlation learning where tempor...
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Two improved normalized subband adaptive filter algorithms with good robustness against impulsive interferences
To improve the robustness of subband adaptive filter (SAF) against impul...
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How Many Communities Are There?
Stochastic blockmodels and variants thereof are among the most widely us...
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