This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
We propose a new video quality assessment (VQA) algorithm--the motion compensated structural similarity index-that assesses not only spatial quality but also quality along temporal...