of modelling abstractions to map from items in the real-world to objects in the computational domain is oth for the effective implementation of abstract problem solutions and for ...
Mariusz Nowostawski, Geoff Bush, Martin K. Purvis,...
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Reconfigurable chips are integrated circuits whose internal connections can be programmed by the user to attend a specific application. Field Programmable Gate Arrays (FPGAs) and ...
Ricardo Salem Zebulum, Cristina Costa Santini, Hel...
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
A high accuracy system for transistor-level static timing analysis is presented. Accurate static timing verification requires that individual gate and interconnect delays be accu...
Pawan Kulshreshtha, Robert Palermo, Mohammad Morta...