Adaptive Data Analysis and Sparsity - IPAM

Adaptive Data Analysis and Sparsity

January 28 - February 1, 2013

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, January 28, 2013

Morning Session

08:00-08:55
Check-In/Light Breakfast (Hosted by IPAM)
08:55-09:00
Welcome and Opening Remarks
Session Chair: Tom Hou
09:00-09:50
Norden Huang (National Central University)
Quantification of Nonlinearity and Nonstationarity
10:00-10:15
Break
10:15-11:05
Patrick Flandrin (École Normale Supérieure de Lyon)
On time-frequency sparsity and uncertainty
11:15-11:30
Break
11:30-12:20
Zhaohua Wu (Florida State University)
Ensemble Empirical Mode Decomposition

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair: Patrick Flandrin
14:00-14:50
Jose Nathan Kutz (University of Washington)
Sparse sensing and machine learning strategies for characterizing complex dynamical systems
15:30-16:00
Break
16:00-16:50
Chung-Kang Peng (Harvard Medical School)
Biomedical Applications of Instantaneous Frequency of Nonlinear Oscillatory Patterns
17:00-18:30
Reception and Poster Session (Hosted by IPAM)

Tuesday, January 29, 2013

Morning Session

08:00-09:00
Continental Breakfast
Session Chair: Norden Huang
09:00-09:50
Ingrid Daubechies (Duke University)
Title not available
10:00-10:15
Break
10:15-11:05
Hau-Tieng Wu (University of California, Berkeley (UC Berkeley))
Nonparametric and adaptive modeling of dynamic seasonality and trend with heteroscedastic and dependent errors
11:15-11:30
Break
11:30-12:20
Thomas Hou (California Institute of Technology)
Data Driven Time-Frequency Analysis

Afternoon Session

12:30-14:00
Lunch (on your own)
Session Chair: Ingrid Daubechies
14:00-14:50
Lexing Ying (Stanford University)
Synchrosqueezed wave packet transform
15:00-15:15
Break
15:15-16:05
Zuoqiang Shi (Department of Mathematical Sciences, Tsinghua University)
Iterative Matching Pursuit and its Application in Adaptive Time-Frequency Analysis
16:15-16:30
Break
16:30-17:20
Yang Wang (Michigan State University)
Title not available

Wednesday, January 30, 2013

Morning Session

08:00-09:00
Continental Breakfast
Session Chair: Haomin Zhou
09:00-09:50
Stanley Osher (University of California, Los Angeles (UCLA))
Sparse Dynamics for PDE's
10:00-10:15
Break
10:15-11:05
Zuowei Shen (National University of Singapore)
Image Restoration: Wavelet Frame Approach, Total Variation and Beyond
11:15-11:30
Break
11:30-12:20
Michal Branicki (Courant Institute of Mathematical Sciences)
Dynamic Stochastic Superresolution of sparsely observed turbulent systems

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair: Stan Osher
14:30-15:20
Guillermo Sapiro (Duke University)
Learning to optimize.
15:30-16:00
Break
16:00-16:50
Jarvis Haupt (University of Minnesota, Twin Cities)
Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries

Thursday, January 31, 2013

Morning Session

08:00-09:00
Continental Breakfast
Session Chair: Laura Balzano
09:00-09:50
Sofia Olhede (University College London)
Inference for Nonstationary Processes
10:00-10:15
Break
10:15-11:05
John Harlim (North Carolina State University)
Filtering irregularly spaced, sparse observations with hierarchical Bayesian reduced stochastic filters
11:15-11:30
Break
11:30-12:20
Jack Xin (University of California, Irvine (UCI))
Adaptation of Reference Library and Structured Sparse Representations for Spectroscopic Imaging

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair: Jack Xin
14:30-15:20
Jerome Gilles (University of California, Los Angeles (UCLA))
Empirical Wavelet Transform (EWT)
15:30-16:00
Break
16:00-16:50
Dimitris Giannakis (New York University)
Capturing intermittent and low-frequency variability in high-dimensional data through nonlinear Laplacian spectral analysis

Friday, February 1, 2013

Morning Session

08:00-09:00
Continental Breakfast
Session Chair: Zuowei Shen
09:00-09:50
Laura Balzano (University of Michigan)
Convergence of a randomized sampling method for identifying a subspace of R^n.
10:00-10:15
Break
10:15-11:05
Xianyao Chen (First Institute of Oceanography)
Detecting Signal from Data with Noise
11:15-11:30
Break
11:30-12:20
Haomin Zhou (Georgia Institute of Technology)
An Adaptive Iterative Filtering Method for Signal Decompositions and Instantaneous Frequency analysis.
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