The proceedings contain 36 papers. The special focus in this conference is on DataMod, GCM, HOFM, MELO, SEMS and VeryComp. The topics include: Separating topological noise from features using persistent entropy;an acc...
ISBN:
(纸本)9783319502298
The proceedings contain 36 papers. The special focus in this conference is on DataMod, GCM, HOFM, MELO, SEMS and VeryComp. The topics include: Separating topological noise from features using persistent entropy;an accelerated MapReduce-based K-prototypes for big data;refinement mining;using data to sift plausible models;towards platform independent database modelling in enterprise systems;a personal data model for musical preferences;a high-level model checking language with compile-time pruning of local variables;probabilistic modelling of station locations in bicycle-sharing systems;on the definition of parallel independence in the algebraic approaches to graph transformation;SPO-rewriting of constrained partial algebras;attributed graph transformation via rule schemata;church-Rosser theorem;visual notation and patterns for abstract state machines;Spatio-temporal models for formal analysis and property-based testing;model-based generation of natural language specifications;formal model-based development in industrial automation with reactive blocks;towards model-based optimisation;using domain knowledge explicitly;context-aware design of reflective middleware in the internet of everything and pure edge computing platform for the future internet.
This paper describes a tool for generation of synthetic semistructured JSON Big Data, called JBD *** main focus is on parallel execution of the generation process while preserving the ability to control the contents o...
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Image annotation generates a set of semantic labels that describe the contents of an input *** deep learning techniques have achieved significant success in many areas of image *** this paper,we present a multi-label ...
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Image annotation generates a set of semantic labels that describe the contents of an input *** deep learning techniques have achieved significant success in many areas of image *** this paper,we present a multi-label image annotation method that combines unsupervised object hypotheses generation and deep neural *** an image,object hypotheses are generated in an unsupervised *** we extract the image features for each hypothesis with a deep neural network *** combining the features of all hypotheses,we get the features of the entire ***,we calculate for each label the probability of that the label is correlated with the given *** can be trained in an end-to-end way using the standard backward propagation *** results on multiple benchmark datasets show that our method is better than the state-of-the-art ones.
Aircraft detection in remote sensing images is an intractable *** current aircraft detection methods have limited representative capabilities and heavy computational *** paper studies how to apply multi-scale feature ...
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Aircraft detection in remote sensing images is an intractable *** current aircraft detection methods have limited representative capabilities and heavy computational *** paper studies how to apply multi-scale feature representation of Convolutional Neural Networks(CNN) to aircraft detection by qualitatively and quantitatively analyzing the performance of Single Shot Detection(SSD) *** first,we find that low-level detectors are not robust enough to detect as the semantic gap *** we propose a data driven hyper-parameter selection method to alleviate this problem by determining appropriate hyper-parameters of sliding window and default box ***,we employ a multi-scale training strategy to enhance low-level predictive ***,we propose an accurate and efficient aircraft detection *** results illustrate that our method could achieve 96.84% AP at 20 FPS on NVIDIA TITAN *** with original SSD method,our proposed approach achived 2.13% AP improvement.
We discuss key challenges of softwareengineering for distributed autonomous real-time systems and introduce a taxonomy for areas of interest with respect to the development of such systems.
ISBN:
(纸本)9781509022366
We discuss key challenges of softwareengineering for distributed autonomous real-time systems and introduce a taxonomy for areas of interest with respect to the development of such systems.
The proceedings contain 24 *** special focus in this conference is on Short Papers, Big Data Applications and Principles, Data centered Smart Applications and ADBIS Doctoral *** topics include: Towards automated perfo...
ISBN:
(纸本)9783319440651
The proceedings contain 24 *** special focus in this conference is on Short Papers, Big Data Applications and Principles, Data centered Smart Applications and ADBIS Doctoral *** topics include: Towards automated performance optimization of BPMN business processes;pixel-based analysis of information dashboard attributes;towards adaptive distributed top-k query processing;basis functions as pivots in space of users preferences;towards semi-structured JSON big data;skyline algorithms on streams of multidimensional data;canonical data model for data warehouse;a quality-based query rewriting algorithm for data integration, towards spatial crowdsourcing in vehicular networks using mobile agents;shift of image processing technologies to column-oriented databases;influence of parallelism property of streaming engines on their performance;reducing big data by means of context-aware tailoring;feature ranking and selection for big data sets;a bagged associative classifier for big data frameworks;a new parallel approximate subspace clustering algorithm;smart modeling for lightweight mobile application development methods;an implementation method of an information credibility calculation system for emergency such as natural disasters;model capsules for research andengineering networks;usage of aspect-oriented programming in adaptive application structure;short-term user behaviour changes modelling and framework for managing distinct versions of data in relational databases.
Accessibility often concerns compatibility with third-party software in order to meet the needs of users who are disabled. The AccessLecture/Math project seeks to transform the Apple iPad into a tool to make Math and ...
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