We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
Interacting State Machines (ISMs) are used to model reactive systems and to express and verify their properties. They can be seen both as automata exchanging messages simultaneousl...
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...
An invariance assertion for a program location is a statement that always holds at during execution of the program. Program invariance analyses infer invariance assertions that ca...