Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
An increasing number of tasks require people to explore, navigate and search extremely complex data sets visualized as graphs. Examples include electrical and telecommunication ne...
Nelson Wong, M. Sheelagh T. Carpendale, Saul Green...
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
A primary problem in the performance measurement of high-level parallel programming languages is to map lowlevel events to high-level programming constructs. We discuss several as...
Microscopy imaging often suffers from limited depth-offocus. However, the specimen can be `optically sectioned' by moving the object along the optical axis; different areas a...
Brigitte Forster, Dimitri Van De Ville, Jesse Bere...