Hash functions are an important cryptographic primitive. They are used to obtain a fixed-size fingerprint, or hash value, of an arbitrary long message. We focus particularly on ...
: Several web sites and e-learning platforms require the access to graphs that carry significant meanings. Understanding and perceiving the graph of a mathematical function is impo...
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...