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Document clustering techniques have been applied in several areas, with the Web as one of the most recent and influent. Both general-purpose and text-oriented techniques exist and can be used to cluster a collection of documents in many ways. In this work we propose an online, single-pass document clustering model that can be combined with a variety of text-oriented similarity measures. An experimental...
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks the results of text based systems by incorporating visual similarity of the resulting images. We observe that, together with many unrelated ones, results of text based systems include a subset of correct images, and this set...
Considering the statistical text classification problem we approximate class-conditional probability distributions by structurally modified Poisson mixtures. By introducing the structural model we can use different subsets of input variables to evaluate conditional probabilities of different classes in the Bayes formula. The method is applicable to document vectors of arbitrary dimension without any...
The Wang Notation Tool (WNT) is a semi-automatic, interactive tool that converts tables to Wang notation - a layout independent representation of tables where all relationships between cells are recorded without relying on the physical structure of tables. WNT requires minimal interaction to select categories from which it deduces relationships. However, if WNT is incorrect, user correction is available...
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text line segmentation accuracy on the UW-III dataset. These algorithms rely on certain assumptions about document layouts, and fail when their underlying assumptions are not met. Also, they do not provide confidence scores for...
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automatic segmentation of the document stream into issues heavily influence the overall output quality of a document image analysis system. As a solution to the issue segmentation problem, this paper introduces a robust, two-step...
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