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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
View Book →Marginalized Particle Filtering and Related Filtering Techniques as Message Passing
In this manuscript a factor graph approach is employed to investigate the recursive filtering problem for a mixed linear/nonlinear state-space model, i.e. for a model whose state vector can be partiti...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →Homomorphic encryption from codes
We propose a new homomorphic encryption scheme based on the hardness of decoding under independent random noise from certain affine families of codes. Unlike in previous lattice-based homomorphic encr...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
View Book →DTIC ADA197242: Euclidean Decoders for BCH Codes
This report investigates conventional decoding algorithms for BCH codes. The algorithm of Sugiyama, Kasahara, Hirasawa and Namekawa, Mills' continued fraction algorithm, and the Berlekamp-Massey algor...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Direct Polarization for q-ary Source and Channel Coding
It has been shown that an extension of the basic binary polar transformation also polarizes over finite fields. With it the direct encoding of q-ary sources and channels is a process that can be imple...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Signal Computing
Digital Signals in the Software Domain...
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On Lattice Sequential Decoding for The Unconstrained AWGN Channel
In this paper, the performance limits and the computational complexity of the lattice sequential decoder are analyzed for the unconstrained additive white Gaussian noise channel. The performance analy...
View Book →Low Density Lattice Codes
Low density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel. In LDLC a codeword x is generate...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Foundations of Machine Learning
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding
We represent the sequence of fMRI (Functional Magnetic Resonance Imaging) brain volumes recorded during a cognitive stimulus by a graph which consists of a set of local meshes. The corresponding cogni...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Variant Construction from Theoretical Foundation to Applications
...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Linear Selection Indices in Modern Plant Breeding
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Bayesian Methods in the Search for MH370
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Biodiversity and Health in the Face of Climate Change
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Anisotropy Across Fields and Scales
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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DTIC AD0746501: Estimation for Rotational Processes with One Degree of Freedom
A class of bilinear estimation problems involving single-degree-of- freedom rotation is formulated and resolved. Both continuous and discrete time estimation problems are considered. Error criteria, p...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
View Book →DTIC ADA097709: An Approach to Assessing the Seriousness of Error Types and the Predictability of Fu
Brown & Burton found 108 bugs in whole-number subtraction problems. Tatsuoka et. al., found 57 bugs in signed-number arithmetic. This study attempts to develop a method for quantifying these numerous ...
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Representation Learning for Natural Language Processing
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Optimization of Quantum Information Processing Maximizing Mutual Information
A model of quantum noisy channel with input encoding by a classical random vector is described. An equation of optimality is derived to determine a complete set of wave functions describing quantum de...
View Book →Distributed MIMO receiver - Achievable rates and upper bounds
In this paper we investigate the achievable rate of a system that includes a nomadic transmitter with several antennas, which is received by multiple agents, exhibiting independent channel gains and a...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Osculating Spaces of Varieties and Linear Network Codes
We present a general theory to obtain good linear network codes utilizing the osculating nature of algebraic varieties. In particular, we obtain from the osculating spaces of Veronese varieties explic...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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View Book →Efficient Codes for Limited View Adversarial Channels
We introduce randomized Limited View (LV) adversary codes that provide protection against an adversary that uses their partial view of the communication to construct an adversarial error vector to be ...
View Book →On the Origin of Polar Coding
Polar coding was conceived originally as a technique for boosting the cutoff rate of sequential decoding, along the lines of earlier schemes of Pinsker and Massey. The key idea in boosting the cutoff ...
View Book →A comparison of model-based VQ compression with other VQ approaches
First published in 1995...
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On Zero Delay Source-Channel Coding
In this paper, we study the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
View Book →CIA Reading Room cia-rdp91-00403r000200260045-8: FR:LYASHCHENKO A M TO:NERUCHEV S G
Development of Middle Palezoic TypeSections in Southern Fergana, by A. M.Lyashchenko, 2RUSSIAN' per,Vol CLXIII, No-7,7965,Am Geol Instp.Dok Ak nauk SSSR, Ear Sci Sec,pp 14S2-14S4.Sci-Ear SciApr 66Coor...
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[An efficient system for reliably transmitting image and video data over low bit rate noise]
First published in 1994...
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Developing Graphics Frameworks with Python and OpenGL
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SUPER: Sparse signals with Unknown Phases Efficiently Recovered
Suppose ${\bf x}$ is any exactly $k$-sparse vector in $\mathbb{C}^{n}$. We present a class of phase measurement matrix $A$ in $\mathbb{C}^{m\times n}$, and a corresponding algorithm, called SUPER, tha...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Algorithmic Graph Theory and Sage
...
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Distributed Quantization for Measurement of Correlated Sparse Sources over Noisy Channels
In this paper, we design and analyze distributed vector quantization (VQ) for compressed measurements of correlated sparse sources over noisy channels. Inspired by the framework of compressed sensing ...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Coded Compressive Sensing: A Compute-and-Recover Approach
In this paper, we propose \textit{coded compressive sensing} that recovers an $n$-dimensional integer sparse signal vector from a noisy and quantized measurement vector whose dimension $m$ is far-fewe...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
View Book →Decoding of scroll codes
We define and study a class of codes obtained from scrolls over curves of any genus over finite fields. These codes generalize Goppa codes in a natural way, and the orthogonal complements of these cod...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Understanding Machine Learning
From Theory to Algorithms...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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