Semantic information
Mysins : Make Your Semantic INformation System
... Your Semantic INformation System Anthony Ventresque ∗ , Thomas Cerqueus ∗∗ , Louis-Alexandre Celton ∗∗∗ , Gaëtan Hervouet ∗∗∗ , Damien Levin ∗∗∗ , Philippe Lamarre ∗ , Sylvie Cazalens ∗∗ ∗ INRIA & LINA, ...
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Mining Tweet Data - Statistic and semantic information for political tweet classification
... 6 CONCLUSION AND FUTURE WORK In this paper, we proposed a representation of textual data that improves classification of document meth- ods by generalizing some features (words) to their POS category when these words ...
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Recalling semantic information about personally known faces and voices
... biographical information about familiar people is harder to retrieve from voices than from faces produced contrasting ...that semantic information about familiar people is easier to retrieve when ...
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A Modeling Approach for the Extraction of Semantic Information from a Maritime Corpus
... Processing Information retrieval (hereafter IR) is an interdisciplinary research ...the semantic information related to a query [23,8,19]. Information retrieval supports three basic processes ...
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Perceived dynamic range of HDR images with no semantic information
... no semantic information, but with the same first order statistics as the original, natural content, is perceived the same as for the corresponding natural ...
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A Tri-Partite Neural Document Language Model for Semantic Information Retrieval
... Keywords: Semantic information retrieval · Knowledge source Deep learning 1 Introduction The semantic gap is a long-standing research topic in information retrieval (IR) that refers to the ...
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From Tweet to Graph: Social Network Analysis for Semantic Information Extraction
... Sèdes, Florence From Tweet to Graph: Social Network Analysis for Semantic Information Extraction . (2014) In: IEEE International Conference on Research Challenges in Information Science - RCIS 2014, ...
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A Tri-Partite Neural Document Language Model for Semantic Information Retrieval
... Keywords: Semantic information retrieval, knowledge source, deep learn- ing 1 Introduction The semantic gap is a long-standing research topic in information retrieval (IR) that refers to the ...
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Semantic Information Retrieval On Medical Texts: Research Challenges, Survey and Open Issues
... on semantic IR in the medical ...the semantic gap, the vocabulary mismatch, and the complexity of result ...include semantic information, to learn a new rank order for ...item semantic ...
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Effects of face and voice learning on access to semantic information from names.
... of information can be retrieved from the recognition of a person: lexical ...name), semantic (e.g. the occupation), and episodic information, such as a memory of a specific occasion or context where ...
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A semantic information model based on the privacy legislation
... 9 rue Charles Fourier, 91011 Evry, France { 1 Kheira.Bekara, 2 Maryline.Laurent}@it-sudparis.eu Abstract— Users’ concerns regarding their privacy have a negative impact on their confidence into e-services, and tend to ...
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Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
... that semantic segmentation contains almost all the necessary information, except for traffic signs and traffic light state, and that using semantic segmentation as input (instead of RGB image) is ...
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Applying semantic relation extraction to information retrieval
... Although semantic information retrieval techniques have always seemed very promis- ing, traditional techniques have continually out-performed them [28, 2]. In order to[r] ...
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Towards a Model of Information Seeking by Integrating Visual, Semantic and Memory Maps
... and semantic information associated to a simple memory ...visual, semantic and memory processes interact in order to predict eye movements in an information-seeking ...the semantic ...
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Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data
... Semdrops semantic social tagging model, however, the last one defines a more rich semantic ...giving semantic to the tags. These model can be reused to give semantic to the Semdrops ...use ...
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Semantic Background Subtraction
... of semantic background subtraction, a novel framework for motion detection in video ...the information of a semantic segmentation algorithm, expressed by a probability for each pixel, with the output ...
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Are we moving toward an information superhighway or a Tower of Babel? : the challenge of large-scale semantic heterogeneity
... One particular problem is context interchange, whereby each source of information and potential receiver of that information may operate with a different context, leading to large-.. sca[r] ...
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Context Interchange Mediation for Semantic Interoperability and Dynamic Integration of Autonomous Information Sources in the Fixed Income Securities Industry
... Bonds and other fixed income securities are obligations to pay sums of money at points in time over the life of the security. To an investor, a fixed income security represents a stream of future cash flows. There may be ...
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From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning
... In yet other cases, procedural modeling is aimed at simplifying and converting the model into a 3D mesh through surface reconstruction algorithms [ 15 ], especially in view of executing structural simulations via finite ...
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Managing Localization Uncertainty to Handle Semantic Lane Information from Geo-Referenced Maps in Evidential Occupancy Grids
... 2. Semantic Grids Using Maps and Uncertain Localization 2.1. Semantic Grid with Lane Information In occupancy grids, each cell contains probabilities quantifying the belief that there exists or not ...
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