This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
In this paper we address the problem of on-line recognition of human activities taking place in a public area such as a shopping center. We consider standard activities; namely, en...
Abstract. Security and privacy issues are considered as two of the major concerns related to the use of biometric data for authentication purposes. In this paper we propose two dif...
: In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modeled as an adversary with whom ...
We propose a novel lexicon acquirer that works in concert with the morphological analyzer and has the ability to run in online mode. Every time a sentence is analyzed, it detects ...