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 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 78 papers. The topics discussed include: complex-valued adaptive signalprocessing : recent advances in optimization and statistical characterization;group independent component analysis for fM...
ISBN:
(纸本)9781424449484
The proceedings contain 78 papers. The topics discussed include: complex-valued adaptive signalprocessing : recent advances in optimization and statistical characterization;group independent component analysis for fMRI data and ICA for joint inference of imaging, genetic, and ERP data;cognitive components of digital media;introduction to the special session : new trends in Markov models and related learning to restore data;learning in Markov models;learning theory and modeling;machinelearning in remote sensing data processing;scene variability and perception constancy in the visual system : a model of pre-processing before data analysis and learning;learning theory, Bayesian learning and modeling;introduction to the special session : brain-computer interfaces;learning theory and applications in speech and audio processing;kernel machines and their applications;and biomedical applications.
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 73 papers. The topics discussed include: feature selection and representation for genomic signalprocessing;fast network component analysis for gene regulation networks;mlsp 2007 data analysis ...
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ISBN:
(纸本)1424415667
The proceedings contain 73 papers. The topics discussed include: feature selection and representation for genomic signalprocessing;fast network component analysis for gene regulation networks;mlsp 2007 data analysis competition: frequency-domain blind source separation for convolutive mixtures of speech/audio signals;local subspace classifiers: linear and nonlinear approaches;feature selection for non Gaussian mixture models;Bayesian image restoration based on variational inference and a product of experts image prior;a mutual information minimization approach for a class of nonlinear recurrent separating systems;single channel speech separation using minimum mean square error estimation of sources' log spectra;autonomous stereo camera parameter estimation for outdoor visual servoing;support vector machines content-based video retrieval based solely on motion information;and online sparse kernal-based classification by projections.
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 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 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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