The information infrastructure in today's businesses consists of many interoperating autonomous systems. Changes to a single system can therefore have an unexpected impact on ...
Document skew estimation is an important step in the process of document analysis. In this paper we discuss the properties of the distance transform of binarized documents and der...
Itay Bar Yosef, Nate Hagbi, Klara Kedem, Its'hak D...
In a multi-language Information Retrieval setting, the knowledge about the language of a user query is important for further processing. Hence, we compare the performance of some t...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...