Systems | Information | Learning | Optimization
 

Strand Simulation for Biomechanics

A significant challenge in biomechanical simulations is the handling of complex routing and contact constraints between muscles, tendons, and bones. I will discuss the constrained strand framework, which has been developed for the simulation of thin solids, with special focus on biomechanical simulations. In particular, I will discuss the importance …

Atomic Norm Denoising with Applications to Line Spectral Estimation | Reliability of Content Identification

Title: Atomic Norm Denoising with Applications to Line Spectral Estimation by Badri Narayan Bhaskar The sub-Nyquist estimation of line spectra is a classical problem in signal processing, but currently popular subspace-based techniques have few guarantees in the presence of noise and rely on a priori knowledge about system model order. …

Compressed Sensing with Structured Sparsity | Canonical Estimation in a Rare-Events Regime

Title: Canonical Estimation in a Rare-Events Regime by Vincent Tan Abstract: We propose a general methodology for performing statistical inference within a `rare-events regime’ that was recently suggested by Wagner, Viswanath and Kulkarni. Our approach allows one to easily establish consistent estimators for a very large class of canonical estimation …

Active Ranking using Pairwise Comparisons | Decomposition Methods for Large Scale LP Decoding

Title: Active Ranking using Pairwise Comparisons by Kevin Jamieson This talk examines the problem of ranking a collection of objects using pairwise comparisons (rankings of two objects). In general, the ranking of n objects can be identified by standard sorting methods using n log2 n pairwise comparisons. We are interested …

Metamaterial Lens Modeling for mm-wave MIMO Communications | Robust Data Analysis Algorithms in a Neutrino Telescope

Title: Metamaterial Lens Modeling for mm-wave MIMO Communications by John Brady The capacity requirements of wireless communications are expanding rapidly with the proliferation of consumer wireless devices. Millimeter wave communication systems are uniquely suited to high data-rate applications not only due to large bandwidths but also small wavelengths that enable …

Cooperative Communication: Backpressure Algorithm with Mutual Information Accumulation | Online robust PCA and examples in computer vision

Cooperative Communication: Backpressure Algorithm with Mutual Information Accumulation By Nick Yanpei Liu We develop scheduling policies that maximize the stability region of a wireless network under the assumption that mutual information accumulation is implemented at the physical layer. When the link quality between nodes is not sufficiently high that a …

Music Hack

Andrew Bridy and Lalit Jain will tell us about their experience at Boston’s Music Hack Day. They’ll describe their metamorphosis from number theorists to music hackers, their awesome new hack, and their perspectives on the future of music.

Theory and software for sparse approximation algorithm phase transitions.

Abstract: We review the eigen-analysis and convex polytope approaches for the development of sparse approximation and compressed sensing algorithms. Problems which can be recast as convex relaxations are amenable to a precise analysis, but non-convex formulated algorithms have a dramatically less precise theoretical understanding. We present a gpu accelerated software …