Modern databases have to cope with multi-dimensional queries. For efficient processing of these queries, query optimization relies on multi-dimensional selectivity estimation techniques. These techniques in turn typically rely on histograms. A core challenge of histogram construction is the detection of regions with a density higher than the ones of their surroundings. In this paper, we show th...

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become problematic for high dimensional and large domain data due to increased perturbation error and c...

  T he study examined factors influencing the adoption of improved cassava processing technologies. Interview schedule was used to collect information from 100 rural women involved in cassava processing. The average age of the respondents was 51 years and majority (77%) had formal education. The women’s main source of information on the improved cassava processing technologies was through the W...

Text Information Extraction in images is concerned with extracting the relevant text data from a collection of document images. It consists in localizing (determining the location) and recognizing (transforming into plain text) text contained in document images. In this work we present a textual information extraction model consisting in a set of prototype regions along with pathways for browsi...

In any information retrieval system, retrieval is based on some formal model. Apart from a few − non-classical − models (which are relatively newer), every other model ultimately relies on two basic models: vector space, and probabilistic (two early and classical models). Hence the vector space and probabilistic models are of a fundamental importance, and thus a unified formal definition for th...

In computer vision, occlusions are almost always seen as undesirable singularities that pose difficult challenges to image motion analysis problems, such as optic flow computation, motion segmentation, disparity estimation, or egomotion estimation. However, it is well known that occlusions are extremely powerful cues for depth or motion perception, and could be used to improve those methods. In...