Search results for "Formations"
showing 10 items of 680 documents
Keyword Based Keyframe Extraction in Online Video Collections
2015
Keyframe extraction methods aim to find in a video sequence the most significant frames, according to specific criteria. In this paper we propose a new method to search, in a video database, for frames that are related to a given keyword, and to extract the best ones, according to a proposed quality factor. We first exploit a speech to text algorithm to extract automatic captions from all the video in a specific domain database. Then we select only those sequences (clips), whose captions include a given keyword, thus discarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots, using a video segmentation method, that is based on the SURF d…
Geometric Algebra Rotors for Sub-Symbolic Coding of Natural Language Sentences
2007
A sub-symbolic encoding methodology for natural language sentences is presented. The procedure is based on the creation of an LSA-inspired semantic space and associates rotation operators derived from Geometric Algebra to word bigrams of the sentence. The operators are subsequently applied to an orthonormal standard basis of the created semantic space according to the order in which words appear in the sentence. The final rotated basis is then coded as a vector and its orthogonal part constitutes the sub-symbolic coding of the sentence. Preliminary experimental results for a classification task, compared with the traditional LSA methodology, show the effectiveness of the approach.
Visual Re-Ranking for Multi-Aspect Information Retrieval
2017
We present visual re-ranking, an interactive visualization technique for multi-aspect information retrieval. In multi-aspect search, the information need of the user consists of more than one aspect or query simultaneously. While visualization and interactive search user interface techniques for improving user interpretation of search results have been proposed, the current research lacks understanding on how useful these are for the user: whether they lead to quantifiable benefits in perceiving the result space and allow faster, and more precise retrieval. Our technique visualizes relevance and document density on a two-dimensional map with respect to the query phrases. Pointing to a locat…
Named Entity Recognition and Linking in Tweets Based on Linguistic Similarity
2017
This work proposes a novel approach in Named Entity rEcognition and Linking (NEEL) in tweets, applying the same strategy already presented for Question Answering (QA) by the same authors. The previous work describes a rule-based and ontology-based system that attempts to retrieve the correct answer to a query from the DBPedia ontology through a similarity measure between the query and the ontology labels. In this paper, a tweet is interpreted as a query for the QA system: both the text and the thread of a tweet are a sequence of statements that have been linked to the ontology. Provided that tweets make extensive use of informal language, the similarity measure and the underlying processes …
Shape
2020
In geometry, shape is the object of theorems associated to a class of transformations. It corresponds to the invariant properties of regions, figures, solids, which are not altered by transformations. The concept of shape implies the concepts of space, upon which transformations are acted, and metric, if distance is preserved, or a measurement function. The invariant properties of shape are fundamental to perception too. However, the classes of transformations build a hierarchy along which shape is more and more abstract from the Euclidean to the topological group, and accordingly, a greater number of perceptual properties are being lost. The science of perception addresses also the questio…
UNA RARA COMPLICANZA DEL DIVERTICOLO INTRALUMINALE DEL DUODENO
1986
The Authors report a case of intraluminal diverticulum of the duodenum complicated by endodiverticulum litiasis
Multiple Congenital Colonic Stenosis: Case Report and Review of the Literature
2015
Congenital malformations affecting the colon are rare pediatric conditions often presenting as obstruction. Colonic atresia accounts for 5-‐10% of atresia in newborns, stenosis is even more rare.Since 1968, only 16 cases of CCS have been reported in literature (Table 1). Because of the rarity of the disease, little is known about this uncommon condition and management is still controversial. We present a case of multiple congenital colonic stenosis and review the literature with a special focus on management of CCS. To the authors' knowledge, multiple congenital colonic stenosis has not been reported previously in the literature.
ROLE OF ENDOVASCULAR EMBOLIZATION IN THE MULTIDISCIPLINARY MANAGEMENT OF RUPTURED BRAIN ARTERIOVENOUS MALFORMATIONS
2022
Brain arteriovenous malformations (bAVMs) are congenital defects of vasculogenesis, the natural history of which is characterized by a significant morbidity and mortality related to the risk of bleeding. Their management remains challenging, since complete eradication is often difficult. Embolization, surgery, or radiosurgery alone are safe and effective for small unruptured AVMs, while a multidisciplinary approach should be pursued for larger ones. We report a case of intracerebral haemorrhage due to the rupture of a large bAVM, for which a multidisciplinary approach was adopted: endovascular partial embolization followed by complete surgical removal.
Malformations of central nervous system: General issues
2013
Malformations of the central nervous system (CNS) encompass a heterogeneous group of congenital anomalies that may be isolated or appear as part of a genetic syndrome. Advances in identifying the genetic etiology underlying many CNS malformation and syndromes have led to the current genetic-based classifications that allows us to better estimate prognosis and potential complications. Herein, we discuss the main genetic, clinical and radiological features and their implications for diagnostic testing and disease management
Optimisation des requêtes de similarité dans les espaces métriques répondant aux besoins des usagers
2012
The complexity of data stored in large databases has increased at very fast paces. Hence, operations more elaborated than traditional queries are essential in order to extract all required information from the database. Therefore, the interest of the database community in similarity search has increased significantly. Two of the well-known types of similarity search are the Range (Rq) and the k-Nearest Neighbor (kNNq) queries, which, as any of the traditional ones, can be sped up by indexing structures of the Database Management System (DBMS). Another way of speeding up queries is to perform query optimization. In this process, metrics about data are collected and employed to adjust the par…