The 21st ieee International workshop on machinelearning for signalprocessing will be held in Beijing, China, on September 18-21, 2011. The workshop series is the major annual technical event of the ieeesignal Proce...
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The proceedings contain 91 papers. The topics discussed include: online function minimization with convex random relu expansions;text to image generative model using constrained embedding space mapping;identification ...
ISBN:
(纸本)9781509063413
The proceedings contain 91 papers. The topics discussed include: online function minimization with convex random relu expansions;text to image generative model using constrained embedding space mapping;identification of a thermal building model by learning the dynamics of the solar flux;mutual singular spectrum analysis for bioacoustics classification;Hankel subspace method for efficient gesture representation;texture classification from single uncalibrated images: random matrix theory approach;Gaussian density guided deep neural network for single-channel speech enhancement;and a recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation.
The proceedings contain 106 papers. The topics discussed include: stochastic unfolding;iterative collaborative filtering for recommender systems with sparse data;learning with the kernel signal to noise ratio;semisupe...
ISBN:
(纸本)9781467310260
The proceedings contain 106 papers. The topics discussed include: stochastic unfolding;iterative collaborative filtering for recommender systems with sparse data;learning with the kernel signal to noise ratio;semisupervised kernel orthonormalized partial least squares;differential edit distance as a countermeasure to video scene ambiguity;haussdorff and hellinger for colorimetric sensor array classification;optimal cost function and magnitude power for NMF-based speech separation and music interpolation;a subspace learning algorithm for microwave scattering signal classification with application to wood quality assessment;level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps;breast ultrasound images gland segmentation;on the generalization ability of distributed online learners;and online learning for quality-driven unequal protection of scalable video.
The proceedings contain 73 papers. The topics discussed include: discriminating bipolar disorder from major depression using whole-brain functional connectivity: a feature selection analysis with SVM-FOBA algorithm;ch...
ISBN:
(纸本)9781467374545
The proceedings contain 73 papers. The topics discussed include: discriminating bipolar disorder from major depression using whole-brain functional connectivity: a feature selection analysis with SVM-FOBA algorithm;characterization of diabetic peripheral neuropathy in infrared video sequences using independent component analysis;active learning for efficient querying from a human oracle with noisy response in a language model assisted brain computer interface;maximum a posteriori estimation of relative abundances of protein conformations;synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia;multiview classification of brain data through tensor factorization;an efficient multi-resolution SVM network approach for object detection in aerial images;and semi-supervised color decomposition for histopathological images using exclusive component analysis.
The proceedings contain 96 papers. The topics discussed include: protein subcellular localization prediction based on profile alignment and gene ontology;a sinusoidal audio and speech analysis/synthesis model based on...
ISBN:
(纸本)9781457716232
The proceedings contain 96 papers. The topics discussed include: protein subcellular localization prediction based on profile alignment and gene ontology;a sinusoidal audio and speech analysis/synthesis model based on improved EMD by adding pure tone;data representation and feature selection for colorimetric sensor arrays used as explosives detectors;efficient preference learning with pairwise continuous observations and Gaussian processes;active one-class learning by kernel density estimation;large scale topic modeling made practical;underdetermined convolutive blind source separation using a novel mixing matrix estimation and MMSE-based source estimation;robust online estimation of the vanishing point for vehicle mounted cameras;Gaussian process for human motion modeling: a comparative study;multi-resolution inversion algorithm for the attenuated radon transform;and a reproducing kernel Hilbert space formulation of the principle of relevant information.
The proceedings contain 82 papers. The topics discussed include: mutual information based dimensionality reduction with application to non-linear regression;functional data representation using correntropy locally lin...
ISBN:
(纸本)9781424478774
The proceedings contain 82 papers. The topics discussed include: mutual information based dimensionality reduction with application to non-linear regression;functional data representation using correntropy locally linear embedding;local dimensionality reduction for multiple instance learning;multiplicative updates for t-SNE;manifold-respecting probabilistic matrix tri-factorization;single-frame image super-resolution unising a pearson type VII MRF;a one-pass resource-allocating codebook for patch-based visual object recognition;learning spatial filters for multispectral image segmentation;improperness measures for quaternion random vectors;Bayesian BCJR for channel equalization and decoding;reinforcement learning method for energy efficient cooperative multiband spectrum sensing;and error-related potential recorded by EEG in the context of a P300 mind speller brain-computer interface.
The proceedings contain 85 papers. The topics discussed include: content addressable memories in reproducing kernel Hilbert Spaces;regression using Gaussian process manifold kernel dimensionality reduction;a kernel ca...
ISBN:
(纸本)9781424423767
The proceedings contain 85 papers. The topics discussed include: content addressable memories in reproducing kernel Hilbert Spaces;regression using Gaussian process manifold kernel dimensionality reduction;a kernel canonical correlation analysis algorithm for blind equalization of oversampled Wiener systems;a data-driven mixture kernel for count data classification using support vector machines;constrained adaptive learning in reproducing kernel Hilbert Spaces: the beamforming paradigm;multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS;a synthetic averaging method on point process for motor brain machine interfaces;SVM margin-based feature elimination applied to high-dimensional microarray gene expression data;and semi-supervised segmentation using non-parametric snakes for 3D-CT applications.
The proceedings contain 121 papers. The topics discussed include: composer style-specific symbolic music generation using vector quantized discrete diffusion models;sparsification of deep neural networks via ternary q...
ISBN:
(纸本)9798350372250
The proceedings contain 121 papers. The topics discussed include: composer style-specific symbolic music generation using vector quantized discrete diffusion models;sparsification of deep neural networks via ternary quantization;orthogonal symmetric nonnegative matrix tri-factorization;convexity based pruning of speech representation models;discriminative community detection for multiplex networks;novel gradient sparsification algorithm via Bayesian inference;adaptive semantic image transmission using generative foundation model;FOLEYGEN: visually-guided audio generation;graph-vector autorregressive model for lithium-ion cell capacity estimation;and episodic fine-tuning prototypical networks for optimization-based few-shot learning: application to audio classification.
The proceedings contain 102 papers. The topics discussed include: a block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation;Gaussian processes for music audio modeling and content analy...
ISBN:
(纸本)9781509007462
The proceedings contain 102 papers. The topics discussed include: a block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation;Gaussian processes for music audio modeling and content analysis;enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation;approximate state-space Gaussian processes via spectral transformation;articulatory and spectrum features integration using generalized distillation framework;speech intelligibility prediction as a classification problem;detecting trends in twitter time series;speaker identification and clustering using convolutional neural networks;a neural network based algorithm for speaker localization in a multi-room environment;and mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorization with beta-divergence.
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