Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Title of Dissertation: INTERACTIVE GRAPHICAL QUERYING OF TIME SERIES AND LINEAR SEQUENCE DATA SETS Harry Hochheiser, Doctor of Philosophy, 2003 Dissertation directed by: Professor...
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...