We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Memory is a scarce resource in many embedded systems. Increasing memory often increases packaging and cooling costs, size, and energy consumption. This paper presents CRAMES, an e...
Lei Yang, Robert P. Dick, Haris Lekatsas, Srimat T...
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
5th International Symposium on Visual Computing, Las Vegas, Nevada, USA, Nov 30 - Dec 2, 2009 The goal of lossy image compression ought to be reducing entropy while preserving the...