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A verifiable multi-secret image sharing scheme using XOR operation and hash function
In a secret image sharing (SIS) scheme, a dealer (the data owner or a trusted third-party) encodes a secret image into some share images and...
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Advances on the analysis of the LMS algorithm with a colored measurement noise
Due to the inherent feedback feature of adaptive filtering algorithms, a comprehensive theoretical understanding of their learning process is still...
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Constrained optimal grou** of cloud application components
Cloud applications are built from a set of components often deployed as containers, which can be deployed individually on separate Virtual Machines...
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A hybrid late fusion-genetic algorithm approach for enhancing CBIR performance
Accurate discrimination of images features is a main success factor towards efficient content-based image retrieval systems. These features can be...
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An efficient verifiable (t,n)-threshold secret image sharing scheme with ultralight shares
A secret sharing scheme partitions a secret into a set of shares and distributes them among the eligible participants, with each participant...
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Syntax
We present the fundamental concepts regarding the syntax of formal languages, and we develop two practically relevant language families: regular...
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PathQuery Pregel: high-performance graph query with bulk synchronous processing
High-performance graph query systems are a scalable way to mine information in Knowledge Graphs, especially when the queries benefit from a...
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Deep learning methods in real-time image super-resolution: a survey
Super-resolution is generally defined as a process to obtain high-resolution images form inputs of low-resolution observations, which has attracted...
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R-2 composition tests: a family of statistical randomness tests for a collection of binary sequences
In this article a family of statistical randomness tests for binary strings are introduced, based on Golomb’s pseudorandomness postulate R-2 on the...
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Algorithms and Logic as Programming Primers
To adapt all-immersive digitalization, the Finnish National Curriculum 2014 (FNC-2014) ‘digi-jumps’ by integrating programming into elementary...
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Object Recognition
This chapter describes the fundamental algorithms of artificial vision to automatically recognize the objects of the scene, essential property of all...
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Expansions at Cusps and Petersson Products in Pari/GP
We begin by explaining how to compute Fourier expansions at all cusps of any modular form of integral or half-integral weight thanks to a theorem of...
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Parametric PSF estimation based on predicted-SURE with \(\ell _1\)-penalized sparse deconvolution
Point spread function (PSF) estimation plays an important role in blind image deconvolution. It has been shown that incorporating Wiener filter,...
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Co-occurrent Structural Edge Detection for Color-Guided Depth Map Super-Resolution
Although RGBD cameras can provide depth information in real scenes, the captured depth map is often of low resolution and insufficient quality...
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Exploiting Data Sparsity for Large-Scale Matrix Computations
Exploiting data sparsity in dense matrices is an algorithmic bridge between architectures that are increasingly memory-austere on a per-core basis...
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The genesis and early developments of Aitken’s process, Shanks’ transformation, the
ε –algorithm, and related fixed point methodsIn this paper, we trace back the genesis of Aitken’s Δ 2 process and Shanks’ sequence transformation. These methods, which are extrapolation methods,...
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An investigation of big graph partitioning methods for distribution of graphs in vertex-centric systems
Relations among data entities in most big data sets can be modeled by a big graph. Implementation and execution of algorithms related to the...
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Representation Theorems for Stream Processing
This chapter outlines a formal and foundational treatment of stream processing from the word perspective where stream processing and stream queries...
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An incremental off-policy search in a model-free Markov decision process using a single sample path
In this paper, we consider a modified version of the control problem in a model free Markov decision process (MDP) setting with large state and...
