Systems | Information | Learning | Optimization
 

Co-clustering for directed graphs: an algorithm, a model, and some asymptotic.

Although the network clustering literature has focused on undirected networks, many networks are directed. For example, communication networks contain asymmetric relationships, representing the flow of information from one person to another. This talk will (1) demonstrate that co-clustering, instead of clustering, is more natural for many directed graphs, (2) propose …

Harmonic Analysis for Risk Minimization on Coset Trees | Symmetry and spatiotemporal chaos with strong scale separation

*** Philip Poon Title: Symmetry and spatiotemporal chaos with strong scale separation I will discuss the effect of a continuous symmetry on pattern formation in one spatial dimension. In particular, I will present a study of the Nikolaevskiy equation, a sixth-order PDE, which is a paradigmatic model for pattern dynamics …

Ultra-light Wireless: Radically rethinking radios to peer into the minds of insects in flight

Over time, the energy cost of computation has steadily fallen due to progressive advances predicted by Moore’s Law, while the energy cost of communication remains fundamentally limited by the signal power required to overcome noise and interference at the receiver. Across a diverse space of power-limited wireless devices, including sensor …

Enhanced Face Recognition using Message-Passing Algorithm | On How Searching is the New Packing

**** Ke Shen: Title: Enhanced Face Recognition using Message-Passing Algorithm Abstract: The goal of this project is to develop theories and algorithms to facilitate large-scale, unconstrained identity discovery, using images containing faces where the individuals belong to various social networks. By exploiting the contextual information from multiple photos and other …

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 …