Code Compression has been shown to be efficient in minimizing the memory requirements for embedded systems as well as in power consumption reduction and performance improvement. I...
Code compression has been used to minimize the memory area requirement of embedded systems. Recently, performance improvement and energy consumption reductionare observed as a by-...
Eduardo Wanderley Netto, Rodolfo Azevedo, Paulo Ce...
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate...
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...