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Linear Selection Indices in Modern Plant Breeding
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Survey of Vector Space Algorithms that Find All the Circuits of Undirected Graphs
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Representation Learning for Natural Language Processing
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Variant Construction from Theoretical Foundation to Applications
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Impact of Vector Processors on Algorithms
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Biodiversity and Health in the Face of Climate Change
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Inkscape 0.48 Illustrator's Cookbook
Annotation Inkscape is an open source vector graphics editor with an intuitive user interface that has enough depth to make quality graphic designs with an attractive layout comparable to what you wou...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Vector Calculus
This unique compendium deals with the differentiation and integration of vector functions. It examines critical effects and extracts important features using powerful tools of differentiation and inte...
View Book →An Innovative Solution Set of Algorithm for Converting Architectural Drawings to Vector-based Comput
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Foundations of Machine Learning
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Algorithms for Decision Making
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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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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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Algorithmic Graph Theory and Sage
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Algorithms for the Vector Quantization of Images
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Vectorization Algorithm for the Solution of Large, Sparse Triangular Systems of Equations
A new method is given for use with vector computers on applications that require multiple solutions with identically patterned triangular factors and different right-hand sides. A key feature is that ...
View Book →Apache Spark Deep Learning Cookbook
Run efficient deep learning models on Apache Spark using TensorFlow and Keras Key Features Train distributed complex neural networks on Apache Spark Use TensorFlow and Keras to train and deploy deep l...
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Signal Computing
Digital Signals in the Software Domain...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
View Book →Vector Quantization Using Genetic Algorithms
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Understanding Machine Learning
From Theory to Algorithms...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Bayesian Methods in the Search for MH370
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →Fast Texture Based Algorithms for Vector Field Visualization
No description available....
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Software for Exascale Computing - SPPEXA 2016-2019
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View Book →OpenCV 3 Computer Vision with Python Cookbook
Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs Key Features ? Build computer vision applications with OpenCV fu...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Some Extensions to Support Vector Machines
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View Book →High Speed Computation
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Radial Basis and Support Vector Machine Algorithms for Approximating Discrete Data
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The Rise and Fall of the Vector Epsilon Algorithm
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →Vector Math for 3D Computer Graphics
This is a tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books. Most gra...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Vector and Their Applications
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →A Vector-based Algorithm for the Determination of 2-D Part Profiles and Geometric Tolerances
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View Book →Globally Optimal Iterative Algorithm with Critical Vector as a Descent Direction to Solve Algebraic
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