The proceedings contain 89 papers. The topics discussed include: mahalanobis-based one-class classification;improving the robustness of surface enhanced Raman spectroscopy based sensors by Bayesian non-negative matrix...
ISBN:
(纸本)9781479936946
The proceedings contain 89 papers. The topics discussed include: mahalanobis-based one-class classification;improving the robustness of surface enhanced Raman spectroscopy based sensors by Bayesian non-negative matrix factorization;data mining by nonnegative tensor approximation;non-negative tensor factorization with missing data for the modeling of gene expressions in the human brain;multiple speaker tracking with the factorial von mises-fisher filter;a probabilistic approach to hearing loss compensation;coherent time modeling of semi-Markov models with application to real-time audio-to-score alignment;ultra-low-power voice-activity-detector through context and resource-cost-aware feature selection in decision trees;and a probabilistic approach for phase estimation in single-channel speech enhancement using von mises phase priors.
The proceedings contain 62 papers. The topics discussed include: general robust subband adaptive filtering for echo cancellation;regression with an ensemble of noisy base functions;mmcc-music: a robust direction of ar...
ISBN:
(纸本)9781665485470
The proceedings contain 62 papers. The topics discussed include: general robust subband adaptive filtering for echo cancellation;regression with an ensemble of noisy base functions;mmcc-music: a robust direction of arrival estimator based on maximum mixture correntropy criterion under alpha-stable distributed noise;joint covariate-alignment and concept-alignment: a framework for domain generalization;machinelearning-based heart disease prediction: a study for home personalized care;an efficient transformer-based model for voice activity detection;multi-patches cooperative point cloud denoising algorithm based on locally linear embedding;neural knowledge transfer for sentiment analysis in texts with figurative language;orthogonal maximum correntropy learning;an alternative approach for distributed parameter estimation under gaussian settings;and an integration development of traditional algorithm and neural network for active noise cancellation.
The proceedings contain 102 papers. The topics discussed include: non-negative matrix completion for bandwidth extension: a convex optimization approach;diffusion map for clustering FMRI spatial maps extracted by inde...
ISBN:
(纸本)9781479911806
The proceedings contain 102 papers. The topics discussed include: non-negative matrix completion for bandwidth extension: a convex optimization approach;diffusion map for clustering FMRI spatial maps extracted by independent component analysis;segmentation of medical images based on hierarchical evolutionary and bee algorithms;the linear process mixture model;video-informed approach for enhancing audio source separation through noise source suppression;introducing a simple fusion framework for audio source separation;orthogonal segmented model for underdetermined blind identification and separation of sources with sparse events;a constrained approach for extraction of pre-ICTAL discharges from scalp EEG;complex support vector machines for quaternary classification;MOGT: oversampling with a parsimonious mixture of Gaussian trees model for imbalanced time-series classification;and non-linear noise adaptive Kalman filtering via variational Bayes.
The proceedings contain 98 papers. The topics discussed include: hierarchical graph neural nets can capture long-range interactions;self-attention for audio super-resolution;deep complex convolutional recurrent networ...
ISBN:
(纸本)9781728163383
The proceedings contain 98 papers. The topics discussed include: hierarchical graph neural nets can capture long-range interactions;self-attention for audio super-resolution;deep complex convolutional recurrent network for multi-channel speech enhancement and dereverberation;model selection of kernel ridge regression for extrapolation;optimizing time domain fully convolutional networks for 3D speech enhancement in a reverberant environment using perceptual losses;online DOA estimation for noninteger linear antenna arrays in coarray domain;tracking of quantized signals based on online kernel regression;and robustness-aware filter pruning for robust neural networks against adversarial attacks.
The proceedings contain 125 papers. The topics discussed include: on NUP priors and gaussian message passing;greedy online change point detection;stream-based active learning with adaptive uncertainty and diversity th...
ISBN:
(纸本)9798350324112
The proceedings contain 125 papers. The topics discussed include: on NUP priors and gaussian message passing;greedy online change point detection;stream-based active learning with adaptive uncertainty and diversity thresholds;an ensemble link prediction framework with AUC-guided leaderboard probing for volunteer collaboration prediction challenge;exploiting music source separation for singing voice detection;semantic-aware image compressed sensing;graph-based multi-task learning for fault detection in smart grid;predicting room impulse responses through encoder-decoder convolutional neural networks;dual quaternion rotational and translational equivariance in 3D rigid motion modelling;and post-hoc explainability of bi-rads descriptors in a multi-task framework for breast cancer detection and segmentation.
The proceedings contain 75 papers. The topics discussed include: model-order selection in statistical shape models;monaural speech separation using a phase-aware deep denoising auto encoder;variational Bayesian partia...
ISBN:
(纸本)9781538654774
The proceedings contain 75 papers. The topics discussed include: model-order selection in statistical shape models;monaural speech separation using a phase-aware deep denoising auto encoder;variational Bayesian partially observed non-negative tensor factorization;nonlinear probabilistic latent variable models for groupwise correspondence analysis in brain structures;uncertainty bounds for kernel-based regression: a Bayesian SPS approach;frame-level proximity and touch recognition using capacitive sensing and semi-supervised sequential modeling;a variance modeling framework based on variational autoencoders for speech enhancement;correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations;single-channel EEG classification by multi-channel tensor subspace learning and regression;learning sparse structured ensembles with stochastic gradient MCMC sampling and network pruning;convolutional neural networks for noise signal recognition;deep learning based speed estimation for constraining strapdown inertial navigation on smartphones;a multi-layer perceptron applied to number of target indication for direction-of-arrival estimation in automotive radar sensors;APE: archetypal-prototypal embeddings for audio classification;a characterization of the edge of criticality in binary echo state networks;and controlling blood glucose levels in patients with type 1 diabetes using fitted q-iterations and functional features.
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