mlsplogo MLSP2015
IEEE International Workshop on
Machine Learning for Signal Processing

September 17-20, 2015  Boston, USA


Thursday September 17, 2015
12:30-14:00Tutorial: Deep learning and its applications in image and video analysis

Yu Kong and Yun Fu
Department of Electrical and Computer Engineering, Northeastern University, USA

Chair: Murat Akcakaya

14:15-15:45Tutorial: A Bayesian Perspective on the Design of EEG-based Brain-Computer Interfaces for Augmentative and Alternative Communication and Control

Murat Akcakaya
Electrical and Computer Engineering Department, University of Pittsburgh, USA

15:45-16:30Coffee Break
Poster Session: Machine Learning in image and video processing and biomedical imaging
Chair: Mohammad Moghadamfalahi

19:30-21:30Welcome Reception

Friday September 18, 2015
9:00-10:00Keynote Lecture: A Geometric Approach to Learning Mixture-Models

Venkatesh Saligrama
Department of Electrical and Computer Engineering, Boston University, USA

10:00-10:30Coffee Break
10:30-12:10Lecture Session: Pattern Recognition and Classification
Chair: Saeid Sanei

10:30Multi-Modal Label Propagation Based On A Higher Order Similarity Matrix
Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
10:50Simultaneous Instance Annotation And Clustering In Multi-Instance Multi-Label Learning
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
11:10Joint Time-Frequency Scattering For Audio Classification
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
11:30Epileptic Focus Localization Using EEG Based On Discrete Wavelet Transform Through Full-Level Decomposition
Duo Chen, Suiren Wang, Forrest Sheng Bao
11:50Tensor Classification Network
Yi-Ting Bao, Jen-Tzung Chien
14:00-16:00Lecture Session: Bayesian Learning and Bayesian Signal Processing
Chair: Raviv Raich

14:00Nonparametric Bayesian Inference On Environmental Waters Chromatographic Profiles
Olivier Harant, Louise Foan, François Bertholon, Séverine Vignoud, Pierre Grangeat
14:20A Bayesian Non Parametric Approach To Learn Dictionaries With Adapted Numbers Of Atoms
Hong-Phuong Dang, Pierre Chainais
14:40Max-Margin Similarity Preserving Factor Analysis Via Gibbs Sampling
Hua Bu Chen, Bo Chen, Wei Hong Liu, Feng Xue Zhang
15:00A MAP approach for lq−norm regularized sparse parameter estimation using the EM algorithm
Rodrigo Carvajal, Juan Carlos Agüero, Boris Ivan Godoy, Dimitrios Katselis
15:20Multimodal Factor Analysis
Yasin Yilmaz, Alfred O. Hero
15:40Using Bayesian Classifiers For Low Complexity Multiview H.264/avc And Hevc Hybrid Architecture
Antonio Jesus Diaz-Honrubia, Johan De Praeter, Sebastiaan Van Leuven, Jan De Cock, Jose Luis Martinez, Pedro Cuenca
Poster Session: Applications of Machine Learning
Chair: Robert Jenssen


Saturday September 19, 2015
9:00-10:00Keynote Lecture: Computable Performance Analysis of Sparse Recovery

Arye Nehorai
Preston M. Green Department of Electrical & System Engineering, Washington University in St. Louis, USA

10:00-10:30Coffee Break
10:30-12:30Lecture Session: Graphical and Kernel Methods
Chair: Murat Akcakaya

10:30Road Condition Classification Using A New Global Alignment Kernel
Takato Goto, Yasushi Hanatsuka, Tomoyuki Higuchi, Tomoko Matsui
10:50Identification Of Hybrid Systems Using Stable Spline Kernels
Gianluigi Pillonetto
11:10Variational Bayes Learning Of Graphical Models With Hidden Variables
Hang Yu, Justin Dauwels
11:30Sparse Model Learning For High Dimensional Diffusion MRI Data In Traumatic Brain Injury
Matineh Shaker, Deniz Erdogmus, Jennifer Dy, Sylvain Bouix
11:50Kernel Covariance Series Smoothing
Cristina Soguero-Ruiz, Robert Jenssen
12:10Accelerated Graph-Based Spectral Polynomial Filters
Andrew Knyazev, Alexander Malyshev
14:00-15:40Lecture Session: Special Session on Information-Centric MLSP and MLSP for Cybersecurity Analytics
Chair: Catherine Huang

14:00Large Scale Graph Mining For Web Reputation Inference
Yonghong Huang, Paula Greve
14:20Time Series Forecasting Via Noisy Channel Reversal
Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan
14:40Valkyrie: Behavioral Malware Detection Using Global Kernel-Level Telemetry Data
Sven Krasser, Brett Meyer, Patrick Crenshaw
15:00Securing Virtual Execution Environments Through Machine Learning-Based Intrusion Detection
Fatemeh Azmandan, David Kaeli, Jennifer Dy, Javed Aslam
15:20A Rate-Distortion Framework For Supervised Learning
Matthew Nokleby, Ahmad Beirami, Robert Calderbank
Poster Session: Blind Methods, Learning and Algorithms
Chair: Jan Larsen

Sunday September 20, 2015
9:00-10:00Keynote Lecture: Practical Aspects of Machine Learning-based Anomaly Detection of Advanced Cyber Threats

Oleg Kolesnikov
Security Analytics Prelert, Boston, USA

10:00-10:30Coffee Break
10:30-12:30Lecture Session: Learning Theory and Algorithms
Chair: Jen-Tzung Chien

10:30Using A Penalized Maximum Likelihood Model For Feature Selection
Amir Jalalirad, Tjalling Tjalkens
10:50Adaptive Regularized Diffusion Adaptation Over Multitask Networks
Sadaf Monajemi, Saeid Sanei, Sim-Heng Ong, Ali H. Sayed
11:10Efficient And Distributed Tracking Of Evolving State
Muhammed Omer Sayin, Nuri Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat
11:30Isomap Out-Of-Sample Extension For Noisy Time Series Data
Hamid Dadkhahi, Marco F. Duarte, Benjamin Marlin
11:50Ordinal Embedding Of Unweighted Knn Graphs Via Synchronization
Mihai Cucuringu, Joseph Woodworth
12:10Randomized Robust Subspace Recovery For Big Data
Mostafa Rahmani, George Atia
14:00-15:00End of the conference
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