Ownership types provide a statically enforceable way of specifying object encapsulation and enable local reasoning about program correctness in object-oriented languages. However,...
Chandrasekhar Boyapati, Barbara Liskov, Liuba Shri...
This paper introduces an object recognition strategy based on the following premises: i) an object can be identified on the basis of the optical flow it induces on a stationary ob...
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
In this paper, we present a new approach to object tracking based on batteries of particle filter working in multicamera systems with non overlapped fields of view. In each view th...
The assignment problem originally arising from parallel and distributed computing has been investigated intensively since the 70’s when Harold Stone proposed a method to solve i...