Abstract— This paper considers compression in packet networks. Since data packets may be dropped or arrive reordered, streaming compression algorithms result in a considerable de...
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
: The performance of single-camera SLAM is improved when wide-angle optics provide a field of view greater than the 40 to 50 degrees lenses normally used in computer vision. The is...
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...