Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Current application development tools provide completely different programming models for the application server (e.g., Java and J2EE) and the client web browser (e.g., JavaScript...
Nicholas Gerner, Fan Yang 0002, Alan J. Demers, Jo...
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Exploiting the multiprocessors that have recently become ubiquitous requires high-performance and reliable concurrent systems code, for concurrent data structures, operating syste...
Peter Sewell, Susmit Sarkar, Scott Owens, Francesc...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...