Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
: This paper presents a novel, low cost technique based on implications to identify untestable bridging faults in sequential circuits. Sequential symbolic simulation [1] is first p...
Manan Syal, Michael S. Hsiao, Kiran B. Doreswamy, ...
Many current general purpose processors use extensions to the instruction set architecture to enhance the performance of digital image processing and multimedia applications. In t...
Phaisit Chewputtanagul, David Jeff Jackson, Kennet...
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...