Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
Abstract—We consider the problem of side-information scalable (SI-scalable) source coding, where the encoder constructs a two-layer description, such that the receiver with high ...
abstract such additional information as network annotations. We introduce a network topology modeling framework that treats annotations as an extended correlation profile of a net...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, A...
Abstract— In this paper, collocated and distributed spacetime block codes (DSTBCs) which admit multi-group maximum likelihood (ML) decoding are studied. First the collocated case...
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...