Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
We describe a new algorithm for analysing security protocols that use XOR, such as key-management APIs. As a case study, we consider the IBM 4758 CCA API, which is widely used in t...
We describe a system as a set of communicating concurrent programs. Quasi-static scheduling compiles the concurrent programs into a sequential one. It uses a Petri net as an inter...
Cong Liu, Alex Kondratyev, Yosinori Watanabe, Albe...
In this paper we present a general framework to study sequences of search activities performed by a user. Our framework provides (i) a vocabulary to discuss types of features, mod...
Qiaozhu Mei, Kristina Klinkner, Ravi Kumar, Andrew...