Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
This article deals with facial segmentation and liptracking with feedback control for real-time animation of a synthetic 3D face model. Classical approaches consist in two success...
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
The objective of the Shape Retrieval Contest '09 (SHREC'09) of Partial Models is to compare the performances of algorithms that accept a range image as the query and ret...