This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Background: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces...
Aaron N. Chang, Jason McDermott, Zachary Frazier, ...
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...