Search results for " similarity"
showing 6 items of 126 documents
SIFT Texture Description for Understanding Breast Ultrasound Images
2014
Texture is a powerful cue for describing structures that show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Feature Transform (SIFT), both as low-level and high-level descriptors, applied to differentiate the tissues present in breast US images. For the low-level texture descriptors case, SIFT descriptors are extracted from a regular grid. The high-level texture descriptor is build as a Bag-of-Features (BoF) of SIFT descriptors. Experimental results are provided showing the validity of the proposed approach for describing the tissues in breast US images.
Striato-amygdaloid transition area lesions reduce the duration of tonic immobility in the lizard Podarcis hispanica.
2002
Neuroanatomical data suggest that the lizard striato-amygdaloid transition area is homologous with the mammalian central amygdala. In order to investigate possible functional similarities, tonic immobility was induced in adult lizards and its duration recorded. Each lizard was then randomly assigned to one of three treatments: (1) bilateral striato-amygdaloid transition area lesions, (2) bilateral dorsal cortex lesions or (3) untreated controls. Three days after trial 1, each lizard was subjected to a second trial and the tonic immobility duration recorded. The mean tonic immobility duration in lizards with striato-amygdaloid transition area lesions was significantly shorter (80.5%; p < 0.0…
Puzzle image mosaic
2005
Cognitive Linguistics as the Underlying Framework for Semantic Annotation
2012
In recent years many attempts have been made to design suitable sets of rules aimed at extracting the semantic meaning from plain text, and to achieve annotation, but very few approaches make extensive use of grammars. Current systems are mainly focused on extracting the semantic role of the entities described in the text. This approach has limitations: in such applications the semantic role is conceived merely as the meaning of the involved entities without considering their context. As an example, current semantic annotators often specify a date entity without any annotation regarding the kind of the date itself i.e. a birth date, a book publication date, and so on. Moreover, these system…
Cognitive Computing supported Medical Decision Support System for Patient’s Driving Assessment
2018
To smartly utilize a huge and constantly growing volume of data, improve productivity and increase competitiveness in various fields of life; human requires decision making support systems that efficiently process and analyze the data, and, as a result, significantly speed up the process. Similarly to all other areas of human life, healthcare domain also is lacking Artificial Intelligence (AI) based solution. A number of supervised and unsupervised Machine Learning and Data Mining techniques exist to help us to deal with structured data. However, in a real life, we pretty much deal with unstructured data that hides useful knowledge and valuable information inside human-readable plain texts,…
Morphometric analysis of two calanchi areas in Sicily (Italy) by exploiting high resolution Digital Elevation Models
2013
In the Mediterranean areas, specifically in Sicily (Italy), irregular rainfalls, strong seasonal changes, scarce vegetation cover and, frequently, outcropping of clayey deposits favor water erosion phenomena. Badland landscapes are the result of severe erosion processes, characterized by steep slopes, sparse vegetation, high drainage density, rapid erosion rates and a shallow or non existing regolith profile. In this investigation we focused on the calanchi badland type, consisting of heavily dissected terrain with steep, unvegetated slopes and channels that rapidly incise and extend headwards. This research was carried out in two calanchi sites located in Sicily. The geometry of 25 badland…