Image-based location estimation methods typically recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most suited for dis...
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
A fundamental problem in designing secure multi-party protocols is how to deal with adaptive adversaries i.e., adversaries that may choose the corrupted parties during the course ...
Ran Canetti, Uriel Feige, Oded Goldreich, Moni Nao...
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
In this article we approach neural networks as computational templates that travel across various sciences. Traditionally, it has been thought that models are primarily models of s...