Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Many applications in structure matching require the ability to search for graphs that are similar to a query graph, i.e., similarity graph queries. Prior works, especially in chem...
Embedded systems are becoming increasingly complex. Besides the additional processing capabilities, they are characterized by high diversity of computational models coexisting in ...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...