— This paper presents the Common State Filter (CSF), a novel and efficient suboptimal Multiple Hypothesis SLAM (MHSLAM) method for Kalman Filter-based SLAM algorithms. Conventio...
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
Temporal constraints play a fundamental role in clinical guidelines. For example, temporal indeterminacy, constraints about duration, delays between actions, and periodic repetiti...
Luca Anselma, Paolo Terenziani, Stefania Montani, ...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...