User profiles for A. Hero
Alfred HeroJohn H Holland Distinguished University Professor, University of Michigan Verified email at eecs.umich.edu Cited by 36857 |
[BOOK][B] A hero of our time
M Lermontov - 2013 - books.google.com
… on whether readers gloss ‘hero’ to mean protagonist in a technical sense or conclude
that Lermontov’s novel itself asks us to adjust our expectations of the hero as a figure who …
that Lermontov’s novel itself asks us to adjust our expectations of the hero as a figure who …
[PDF][PDF] Deconstructing the hero
I Thomson - Comics as philosophy, 2005 - comicsstudies.pbworks.com
… heroes.” ln Heidegger’s view, although the heroes we choose fundamentally shape our sense
of self, initially we choose our heroes … of heroes as everyone else. By simply taking over a …
of self, initially we choose our heroes … of heroes as everyone else. By simply taking over a …
Quantum-inspired computational imaging
BACKGROUND Imaging technologies, which extend human vision capabilities, are such a
natural part of our current everyday experience that we often take them for granted. However, …
natural part of our current everyday experience that we often take them for granted. However, …
Locating the nodes: cooperative localization in wireless sensor networks
Accurate and low-cost sensor localization is a critical requirement for the deployment of
wireless sensor networks in a wide variety of applications. In cooperative localization, sensors …
wireless sensor networks in a wide variety of applications. In cooperative localization, sensors …
Relative location estimation in wireless sensor networks
Self-configuration in wireless sensor networks is a general class of estimation problems that
we study via the Cramer-Rao bound (CRB). Specifically, we consider sensor location …
we study via the Cramer-Rao bound (CRB). Specifically, we consider sensor location …
Space-alternating generalized expectation-maximization algorithm
JA Fessler, AO Hero - IEEE Transactions on signal processing, 1994 - ieeexplore.ieee.org
The expectation-maximization (EM) method can facilitate maximizing likelihood functions
that arise in statistical estimation problems. In the classical EM paradigm, one iteratively …
that arise in statistical estimation problems. In the classical EM paradigm, one iteratively …
A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications
…, B Kailkhura, G Zhang, AO Hero III… - IEEE Signal …, 2020 - ieeexplore.ieee.org
Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in
many signal processing and machine learning (ML) applications. It is used for solving …
many signal processing and machine learning (ML) applications. It is used for solving …
Distributed weighted-multidimensional scaling for node localization in sensor networks
JA Costa, N Patwari, AO Hero III - ACM Transactions on Sensor …, 2006 - dl.acm.org
Accurate, distributed localization algorithms are needed for a wide variety of wireless
sensor network applications. This article introduces a scalable, distributed weighted-…
sensor network applications. This article introduces a scalable, distributed weighted-…
Secure space-time communication
AO Hero - IEEE Transactions on Information Theory, 2003 - ieeexplore.ieee.org
Network security is important for information protection in open, secure, or covert communications.
One such requirement is to achieve high-rate communications between clients, eg, …
One such requirement is to achieve high-rate communications between clients, eg, …
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is
sparse. The approach applies ℓ 1 relaxation, common in compressive sensing, to improve the …
sparse. The approach applies ℓ 1 relaxation, common in compressive sensing, to improve the …