Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Phylogentic analysis is becoming an increasingly important tool for customized drug treatments, epidemiological studies, and evolutionary analysis. The TCS method provides an impo...
Mark J. Clement, Quinn Snell, Peter Walker, David ...
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
Methods such as wavelets and M-stationary process have been developed to analyze the time-frequency properties of a process where frequency changes with time. In certain circumsta...
Memory corruption errors lead to non-deterministic, elusive crashes. This paper describes ARCHER (ARray CHeckER) a static, effective memory access checker. ARCHER uses path-sensit...