NDLI: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)

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2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)

Organizing committee

Program committee

Modelling LGMD2 visual neuron system

Isomap out-of-sample extension for noisy time series data

Accelerated graph-based spectral polynomial filters

Retrieving sounds by vocal imitation recognition

Epileptic focus localization using EEG based on discrete wavelet transform through full-level decomposition

Deep independence network analysis of structural brain imaging: A simulation study

A rate-distortion framework for supervised learning

Online anomaly detection with constant false alarm rate

A map approach for ℓ-norm regularized sparse parameter estimation using the EM algorithm

Pulse based signal processing for systolic peak recognition

Nonparametric Bayesian inference on environmental waters chromatographic profiles

Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder

Deep semi-supervised learning for domain adaptation

Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data

A hierarchical Bayesian network for face recognition using 2D and 3D facial data

Observation-model error compensation for enhanced spectral envelope transformation in voice conversion

An efficient multi-resolution SVM network approach for object detection in aerial images

Time series forecasting via noisy channel reversal

Vowel duration measurement using deep neural networks

Piano music transcription with fast convolutional sparse coding

Multiview classification of brain data through tensor factorisation

Valkyrie: Behavioral malware detection using global kernel-level telemetry data

Variational Bayes learning of graphical models with hidden variables

Identification of hybrid systems using stable spline kernels

Environmental sound classification with convolutional neural networks

Ordinal embedding of unweighted kNN graphs via synchronization

Random subspace method for source camera identification

Multimodal factor analysis

Statistical embeddings using a multilayer union of subspaces

Blind source separation of medial temporal discharges via partial dictionary learning

A novel delta check method for detecting laboratory errors

Large scale collaboration with autonomy: Decentralized data ICA

Securing virtual execution environments through machine learning-based intrusion detection

Randomized robust subspace recovery for big data

Multi-modal label propagation based on a higher order similarity matrix

A Bayesian non parametric approach to learn dictionaries with adapted numbers of atoms

Max-margin similarity preserving factor analysis via Gibbs sampling

Studying the interaction of a hidden Markov model with a Bayesian spiking neural network

Simple self-scalable grid classifier for signal denoising in digital processing systems

Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm

Using a penalized maximum likelihood model for feature selection

Simultaneous instance annotation and clustering in multi-instance multi-label learning

An online learning approach to throughput optimization in wireless networks under dynamic and unknown interference conditions

A Naive Bayes approach to improve histogram matching quality

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring

Adaptive regularized diffusion adaptation over multitask networks

Semi-supervised color decomposition for histopathological images using exclusive component analysis

Tensor classification network

Scalable multi-neighborhood learning for convolutional networks

Characterization of diabetic peripheral neuropathy in infrared video sequences using independent component analysis

Automatic image tagging and recommendation via PARAFAC2

Discrete independent component analysis (DICA) with belief propagation

Learning of scanning strategies for electronic support using predictive state representations

Using Bayesian classifiers for low complexity multiview H.264/AVC and HEVC hybrid architecture

Manifold unwrapping using critical surfaces

Modeling speech parameter sequences with latent trajectory Hidden Markov model

Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface

A cognitive brain-computer interface prototype for the continuous monitoring of visual working memory load

A model based approach to exploration of continuous-state MDPs using Divergence-to-Go

A sequential Bayesian inference framework for blind frequency offset estimation

Universal online prediction via order preserving patterns

Large scale graph mining for web reputation inference

Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury

A multi-layer discriminative framework for parking space detection

Maximum a posteriori estimation of relative abundances of protein conformations

High dimensional sequential regression on manifolds using adaptive hierarchical trees

Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia

Kernel covariance series smoothing

Road condition classification using a new global alignment kernel

Maximizing margin quality and quantity

Efficient and distributed tracking of evolving state

Unsupervised segmentation of task activated regions in fMRI

Joint time-frequency scattering for audio classification

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2012 IEEE International Workshop on Machine Learning for Signal Processing

2011 IEEE International Workshop on Machine Learning for Signal Processing

2010 IEEE International Workshop on Machine Learning for Signal Processing

2009 IEEE International Workshop on Machine Learning for Signal Processing

2008 IEEE Workshop on Machine Learning for Signal Processing

2007 IEEE Workshop on Machine Learning for Signal Processing

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing

2005 IEEE Workshop on Machine Learning for Signal Processing

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.

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Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in