Distributed database design is a complex process that involves a set of distinct aspects for the accomplishment of an adequate data distribution (Buretta 1997). Many of these aspec...
Interest point detectors are commonly employed to reduce the amount of data to be processed. The ideal interest point detector would robustly select those features which are most ...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
General Motors (GM) has developed a first proof-ofconcept simulation model to explore impacts of various fire events in automotive paint shop operations. The approach uses a chron...
Debra A. Elkins, A. Christine LaFleur, Earnest Fos...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...