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28th MLSP 2018: Aalborg, Denmark
- 28th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018, Aalborg, Denmark, September 17-20, 2018. IEEE 2018, ISBN 978-1-5386-5477-4
- Daniel Stoller
, Vincent Akkermans, Simon Dixon:
Detection of Cut-Points for Automatic Music Rearrangement. 1-6 - Santiago Cortés Reina, Arno Solin
Deep Learning based Speed estimation for Constraining Strapdown inertial Navigation on Smartphones. 1-6 - Simon Leglaive
A variance Modeling Framework based on variational Autoencoders for speech enhancement. 1-6 - Donald S. Williamson
Monaural speech separation using a phase-Aware Deep denoising Auto encoder. 1-6 - Ruslan J. Portsev
Convolutional Neural Networks for noise signal Recognition. 1-6 - Tobias Fischer, Mariano Etchart, Ernesto Biempica:
Frame-Level Proximity and touch Recognition using capacitive Sensing and Semi-Supervised Sequential Modeling. 1-6 - Jesper Løve Hinrich
Variational Bayesian Partially observed non-Negative Tensor Factorization. 1-6 - Simon Van Eyndhoven
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. 1-6 - Yichi Zhang
Learning Sparse Structured Ensembles with stochastic Gradient MCMC Sampling and Network Pruning. 1-6 - Algo Carè
Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach. 1-6 - Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez
Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. 1-6 - Eero Siivola
Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations. 1-6 - Alma Eguizabal, Peter J. Schreier, David Ramírez
Model-order Selection in Statistical Shape Models. 1-6 - Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan:
APE: Archetypal-Prototypal Embeddings for Audio Classification. 1-6 - Jonas Nordhaug Myhre
Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features. 1-6 - Markus Gardill, Jonas Fuchs
A Multi-Layer Perceptron Applied to number of target Indication for direction-of-arrival estimation in Automotive radar Sensors. 1-6 - Pietro Verzelli
A characterization of the Edge of Criticality in Binary echo State Networks. 1-6 - Maxime Vono
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler. 1-6 - Alireza Sepas-Moghaddam
Light field based Face Recognition via a Fused Deep Representation. 1-6 - Yukun Tan
Inference of gene regulatory Networks by Maximum-likelihood adaptive filtering and discrete fish School Search. 1-6 - Bhusan Chettri
Analysing Replay Spoofing Countermeasure Performance under varied conditions. 1-6 - David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Optimal Classifier Model Status Selection using Bayes boundary uncertainty. 1-6 - Fatma Albluwi, Vladimir A. Krylov, Rozenn Dahyot
Image Deblurring and Super-Resolution Using Deep Convolutional Neural Networks. 1-6 - Paul Rodríguez
Regularization Parameter-Free Convolutional Sparse Coding via Projections Onto The ℓ1-Ball and The Discrepancy Principle. 1-6 - Wei-Zhi Huang, Sung-Hsien Hsieh, Chun-Shien Lu, Soo-Chang Pei:
Simple Deep Learning Network via Tensor-Train Haar-wavelet Decomposition without Retraining. 1-6 - Xingyuan Wu, Yonggang Qi, Jun Liu, Jie Yang:
Sketchsegnet: A Rnn Model for Labeling Sketch Strokes. 1-6 - Victoria Bibaeva:
Using Metaheuristics for Hyper-Parameter Optimization of Convolutional Neural Networks. 1-6 - Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström
Learning stochastic differential equations with Gaussian Processes without Gradient Matching. 1-6 - Filip Tronarp
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature. 1-6 - Simone Scardapane, Steven Van Vaerenbergh
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. 1-6 - Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. 1-6 - Ioannis Mademlis
Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization. 1-6 - Kristoffer Wickstrøm
Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation. 1-6 - Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen
Acoustic Scene Classification: a Competition Review. 1-6 - Javier Conte Alcaraz, Sanam Moghaddamnia, Nils Poschadel, Jürgen Peissig:
Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation. 1-6 - Jen-Tzung Chien
Supportive Attention in End-To-End Memory Networks. 1-6 - Christina Chrysouli, Nicholas Vretos
Affective State Recognition based on eye gaze Analysis using two-Stream Convolutional Networks. 1-6 - Benoît Choffin, Naonori Ueda:
Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms. 1-6 - Juan M. Espín
Logical Access Attacks Detection through audio Fingerprinting in Automatic speaker Verification. 1-6 - David J. Miller, George Kesidis, Zhicong Qiu:
Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD). 1-6 - Ismail Senöz, Bert de Vries:
Online variational Message Passing in the Hierarchical Gaussian filter. 1-6 - Milan Papez, Anthony Quinn:
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters. 1-6 - Bastian Seifert
Dynamical Component Analysis (DYCA): Dimensionality Reduction for High-Dimensional Deterministic Time-Series. 1-6 - Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Ling-Hua Chang, Chun-Hung Liu
Enhanced Noisy Sparse Subspace Clustering via Reweighted L1-Minimization†. 1-6 - Vitor Godeiro, José F. Silva Neto, Bruno M. Carvalho, Bruno Santana, Julianny Ferraz, Renata Gama:
Chronic Wound tissue Classification using Convolutional Networks and Color Space Reduction. 1-6 - Hanwook Chung, Taesup Kim, Eric Plourde, Benoît Champagne:
Noise-adaptive Deep Neural Network for single-channel speech enhancement. 1-6 - Kimmo Suotsalo, Simo Särkkä:
On-Line Bayesian parameter estimation in electrocardiogram State Space Models. 1-6 - Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser
Remote Sensing Image Regression for Heterogeneous Change Detection. 1-6 - Jieun Lee, Yoonsik Choe:
Graph-Regularized Fast Low-Rank Matrix Approximation Using The NystrÖM Method for Clustering. 1-5 - Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. 1-6 - Soheil Rayatdoost
Cross-Corpus EEG-based Emotion Recognition. 1-6 - Cem Ornek, Elif Vural
Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators. 1-6 - Sara Al-Sayed, Heinz Koeppl:
Network Reconstruction From Time-Course Perturbation Data Using Multivariate Gaussian Processes. 1-6 - Yannick Deville, Alain Deville:
Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation. 1-6 - Mingyuan Jiu, Nelly Pustelnik, Lin Qi:
Multiclass SVM with Hierarchical Interaction: Application to Face Classification. 1-6 - Panteleimon Chriskos, Rosen Zhelev, Vasileios Mygdalis
Quality Preserving Face de-identification against Deep CNNs. 1-6 - Minoru Mori, Masahiro Nakano:
Efficient cyclic Learning rate Schedules and their Evaluations for Neural Network Ensemble. 1-6 - Amin Jalili, Sadid Sahami, Chong-Yung Chi, Rassoul Amirfattahi:
Speech Emotion Recognition Using Cyclostationary Spectral Analysis. 1-6 - Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan:
Convex likelihood alignments for bioacoustic Classification. 1-6 - Yuan Liu, Stéphane Canu
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. 1-6 - Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
A Deep Learning Architecture to Detect Events in EEG Signals During Sleep. 1-6 - David J. Miller, Yujia Wang, George Kesidis:
Anomaly Detection of Attacks (Ada) on DNN Classifiers at Test Time. 1-6 - Che-Yu Kuo, Jen-Tzung Chien
Markov Recurrent Neural Networks. 1-6 - Chang Rajani
Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. 1-6 - Mahmoud Ramezani-Mayiami:
Joint Topology Learning and Graph signal Recovery via Kalman filter in Causal Data Processes. 1-6 - Gustavo Silva
Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning. 1-6 - Rafael Poyiadzi, Raúl Santos-Rodríguez
Label Propagation for Learning with Label proportions. 1-6 - Marie-Christine Roubaud, Jean-Marc Lina, Julie Carrier
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging. 1-6 - Zheng Zhao, Simo Särkkä, Ali Bahrami Rad:
Spectro-Temporal ECG Analysis for atrial fibrillation Detection. 1-6 - Jun Xu, Jingyu Wang
Deep Neural Networks for Application Awareness in SDN-based Network. 1-6 - Giovanni Di Gennaro
Computational Optimization for Normal Form Realization of Bayesian Model graphs. 1-6 - Elif Vural
Generalization Bounds for Domain Adaptation via Domain Transformations. 1-6 - Frank Nielsen
Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures. 1-6 - Rongjin Ma, Badong Chen
Causality Analysis based on Matrix Transfer Entropy. 1-6 - Arun Patro, Vishnu Makkapati
Evaluation of Loss Functions for Estimation of Latent Vectors from GAN. 1-6
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