Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
This paper presents a new algorithm for fusioning images of text-documents taken with different exposures. It is compared to several standard block oriented exposure- and focus-bl...
Marco Block, Maxim Schaubert, Fabian Wiesel, Ra&ua...
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
This paper describes a system for efficient indexing and retrieval of words in collections of document images. The proposed method is based on two main principles: unsupervised pr...
In OCR systems the character segmentation algorithm may generate mis-segmented blocks. Feedback information from character classifier is indispensable to achieve higher character ...