In many computer vision tasks, scene changes hinder the generalization ability of trained classifiers. For instance, a human detector trained with one set of images is unlikely t...
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
IgorFs is a distributed, decentralized peer-to-peer (P2P) file system that is completely transparent to the user. It is built on top of the Igor peer-to-peer overlay network, whi...
Bernhard Amann, Benedikt Elser, Yaser Houri, Thoma...
Transactional events (TE) are an approach to concurrent programming that enriches the first-class synchronous message-passing of Concurrent ML (CML) with a combinator that allows ...