Thesiss

Advances in super-resolution imaging have been made by reconstruction, interpolation and example-based algorithmic techniques drawn from the fields of signal and image processing, machine learning, biologically-inspired computer vision, and psychology. However, the performance o…

This work outlines the beginning of a new attempt at an Integrated Theory of Intelligence. A complete understanding of intelligence requires a multitude of interdisciplinary ideas. Instead, we abstract out many specifics in favor of purely computational building blocks. This ena…

Random signal measurement, in the form of random projections of signal vectors, extends the traditional point-wise and periodic schemes for signal sampling. In particular, the well-known problem of sensing sparse signals from linear measurements, also known as Compressed Sensing…