Communication overhead is one of the major performance bottlenecks in large-scale distributed computing systems, especially for machine learning applications.
Compressed carbon dioxide in both its liquid and supercritical fluid states was used to extract 1micron thick glassy and rubbery films of nonvolatile monomeric and oligomeric siloxane compounds dis
In this paper we introduce a novel low dimensional information propagation method in Twitter, which exploits the power of Compressive Sensing in conjunction with a Kalman filter to update the state
T HE introduction of loading coils in the telephone system at about the turn of the century brought special demands on magnetic and electrical properties of core materials, and set in motion invest
We present a novel and general approach that elevates the scope of compressed sensing recovery algorithms far beyond simple structures such as sparsity.
In current wireless base station architectures it is becoming common to physically separate baseband units and radio subsystems.
We have imaged the electronic compressibility of a two-dimensional electron gas in the integer quantum Hall regime.
Network information theory traditionally studies communication problems involving many senders and receivers.
This talk will cover the problems of color image storage and transmission when the available processing power comes basically from a Personal Computer plus various specialized plug-in boards.
We consider visible compression for discrete memoryless sources of mixed quantum states when only classical information can be sent from Alice to Bob.
