This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Semanticons can enhance the representation of files by offering symbols that are both meaningful and easily distinguishable. The semantics of a file is estimated by parsing its na...
Changing the internal structure of a program without changing its behavior is called restructuring. This paper presents a transformation called tuck for restructuring programs by ...
The work establishes fundamental limits between rate, reliability and computational complexity, for the general setting of outage-limited MIMO communications. In the high-SNR regim...