Application domains, such as multimedia, databases, and parallel computing, require operating system services with high performance and high functionality. Existing operating syst...
Brian N. Bershad, Craig Chambers, Susan J. Eggers,...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
This paper introduces the queue-read, queue-write (qrqw) parallel random access machine (pram) model, which permits concurrent reading and writing to shared memory locations, but ...
Phillip B. Gibbons, Yossi Matias, Vijaya Ramachand...
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...