We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLe...
One of the fundamental problems in the eld of mobile robotics is the estimation of the robot's position in the environment. Position probability grids have been proven to be a...
The performance of current transaction processing systems largely depends on human experts for administration and tuning. These experts have to specify a multitude of internal con...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Photo-realistic computergraphics is an area of research which tries to develop algorithms and methods to render images of arti cial models or worlds as realistically as possible, b...