Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Effective use of machines and headcounts is essential in manufacturing for high return of investment from expensive resources in today’s competitive business environment. It is ...
In AI research, mechanism design is typically used to allocate tasks and resources to agents holding private information about their values for possible allocations. In this conte...
Lachlan Thomas Dufton, Victor Naroditskiy, Maria P...
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...