Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
TCP incast congestion happens in high-bandwidth and lowlatency networks, when multiple synchronized servers send data to a same receiver in parallel [15]. For many important data ...
We propose Recursive Compositional Models (RCMs) for simultaneous multi-view multi-object detection and parsing (e.g. view estimation and determining the positions of the object s...
Long Zhu, Yuanhao Chen, Antonio Torralba, William ...
Remote visualization of an arbitrary 2-D planar "cut" from a large volumetric dataset with random access has both gained importance and posed significant challenges over...
ABox Reasoning in large scale description logic (DL) knowledge bases, e.g. ontologies, is important for the success of many semantic-enriched systems. Performance of existing appro...