In this paper a new patch-based digital signature (DS) is proposed. The proposed approach similar to steganography methods hides the secure message in a host image. However, it uses a patch-based key to encode/decode the data like cryptography approaches. Both the host image and key patches are randomly initialized. The proposed approach consists of encoding and decoding algorithms. The encodin...

Vitiligo, an autoimmune disorder, is known to co-localize with other immunological disorders like lichen planus and psoriasis. However, there are no reports regarding the co-localization of an autoimmune disorder (vitiligo) and a developmental disorder (verrucous epidermal nevus). We hereby present a 10-month-old infant who was visited for white patches on the right buttock and adjoining antero...

Many wildlife species are dependent on habitat attributes within forest stands such as large live trees, standing dead trees, fallen logs, and understory shrubs. Standing dead trees (snags) are especially important because they are used by many species, such as bats, woodpeckers, and furbearers, for feeding and/or nesting. Forest harvesting and silvicultural practices can eliminate or significa...

Structured populations are of particular interest when discussing disease dynamics. A common approach is to consider metapopulations: a group of coupled, well-mixed patches (also called (sub)populations or households). Two, frequently used ways to realize coupling are to introduce between-patch contact rates and to allow migration. Although these two ways describe different real-life situations...

This paper presents a spectral clustering method called as correlation preserving indexing (CPI). This method is performed in the correlation similarity measure space. Correlation preserving indexing explicitly considers the manifold structure embedded in the similarities between the documents. The aim of CPI method is to find an optimal semantic subspace by maximizing the correlation between t...

The computer-aided analysis of medical scans is a longstanding goal in the medical imaging field. Currently, deep learning has became a dominant methodology for supporting pathologists and radiologist. Deep learning algorithms have been successfully applied to digital pathology and radiology, nevertheless, there are still practical issues that prevent these tools to be widely used in practice. ...

The human visual system is more sensitive to symmetry than to repetition. According to the so-called holographic approach [J. Math. Psychol. 35 (1991) 151; Psychol. Rev. 103 (1996) 429; Psychol. Rev. 106 (1999) 622], however, this perceptual difference between symmetry and repetition depends strongly on spatial scaling. This was tested in three experiments, using symmetry and repetition stimuli...