Nov 18, 2016 - 3:30pm
Inside-Out: First Person Vision for Personalized Intelligence
Jianbo Shi, University of Pennsylvania

A first person camera placed at the person's head captures candid moments in our life, providing detailed visual data of how we interact with people and objects. It reveals our attention, Learn More

Nov 18, 2016 - 2:00pm
Compressed Sensing for Line Spectrum Estimation Without Sparsity
Professor Piya Pal, Department of Electrical and Computer Engineering, University of California, San Diego

Compressive sensing has emerged as a central area of research in modern signal processing with applications in many scientific and engineering problems across disciplines. The key idea is to Learn More

Nov 17, 2016 - 10:00am
Multimodal validation of signal stability from chronically implanted micro-electrocorticographic arrays
Michael Trumpis

Micro-electrocorticography (μECoG) arrays are proposed as a minimally invasive alternatives to chronic intracortical microelectrode arrays. The promise of μECoG is to provide a neural interface Learn More

Nov 10, 2016 - 2:00pm
A Semi-Algebraic Framework for Approximate CP Tensor Decompositions via Simultaneous Matrix Diagonalizations
Dr Martin Haardt, Ilmenau University of Technology, Communications Research Laboratory

The Canonical Polyadic (CP) decomposition of R-way arrays is a powerful tool in multi-linear algebra. Algorithms to compute an approximate CP decomposition from noisy observations are often based Learn More

Nov 3, 2016 - 2:00pm
Robust, scalable, and fast boostrap method for analyzing large scale data
Professor Visa Koivunen, Dept of Signal Processing and Acoustics, Aalto University, Finland

This talk address the problem of performing statistical inference for large scale data sets i.e., Big Data. The volume and dimensionality of the data may be so high that it cannot be processed or Learn More

Oct 28, 2016 - 2:00pm
Lower Bound On The Storage Cost Of Shared Memory Emulation
Professor Zhiying Wang, Department of Electrical and Computer Science, University of California, Irvine

Shared memory emulation are important algorithms that bridge the two communication models of asynchronous distributed systems: the shared-memory model, and the message-passing model. Learn More

Oct 21, 2016 - 2:00pm
Joint Matrix Decompositions for Gaussian Communication Networks
Anatoly Khina, Department of Electrical Engineering, California Institute of Technology

A central concept in matrix analysis is the decomposition of a matrix into a product of orthogonal (or unitary) matrices and a diagonaltriangular one, e.g., unitary diagonalization of a symmetric Learn More

Oct 19, 2016 - 2:00pm
Machine Learning for Geophysical Applications
Peter Gerstoft

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Oct 14, 2016 - 2:00pm
Information Without Rolling Dice
Massimo Franceschetti, Department of Electrical and Computer EngineeringUniversity of California, San Diego

Can one revisit the main concepts of information theory in a deterministic setting? Shortly after Shannon’s work came about, this was the program set by the great Soviet mathematician Andrey Learn More

Oct 7, 2016 - 2:00pm
Data-driven methods for sparse network estimation
Somayeh Sojoudi, Assistant Project Scientist, UC Berkeley

A Graphical model is a probabilistic model for which a graph is used to represent the conditional independence between random variables. Such models have become extremely popular tools for Learn More