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Journal of the Optical Society of America and Review of Scientific Instruments
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lotus_vector_156064
Lotus icon design colorful 3d style Free vector 142.65KB...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →Bell Telephone System Technical Publications
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View Book →Library of Universal Knowledge
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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The International Cyclopaedia
No description available....
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
View Book →Bell Telephone Laboratories Reprints
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The International Cyclopedia
No description available....
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Approximate Nearest Neighbor Search by Residual Vector Quantization.
This article is from Sensors (Basel, Switzerland) , volume 10 . Abstract A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its ...
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Linear Selection Indices in Modern Plant Breeding
...
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Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image. To achieve this, we propose a nov...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Extreme Entropy Machines: Robust information theoretic classification
Most of the existing classification methods are aimed at minimization of empirical risk (through some simple point-based error measured with loss function) with added regularization. We propose to app...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Parameter Estimation under Gaussian Model Uncertainties by Iterative Covariance Approximation
We propose a novel iterative algorithm for estimating a deterministic but unknown parameter vector in the presence of Gaussian model uncertainties. This iterative algorithm is based on a system model ...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
View Book →Bulletin of the National Research Council
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View Book →Vector Analysis
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
View Book →Geometric Modeling and Mesh Generation from Scanned Images
Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling,...
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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 →The International Cyclopædia
No description available....
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Understanding Machine Learning
From Theory to Algorithms...
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Combined analysis of chromosomal instabilities and gene expression for colon cancer progression infe
This article is from Journal of Clinical Bioinformatics , volume 4 . Abstract Background: Copy number alterations (CNAs) represent an important component of genetic variations. Such alterations are re...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Using distances between Top-n-gram and residue pairs for protein remote homology detection.
This article is from BMC Bioinformatics , volume 15 . Abstract Background: Protein remote homology detection is one of the central problems in bioinformatics, which is important for both basic researc...
View Book →Selected Papers ...: Directive antennas
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Self-Taught Hashing for Fast Similarity Search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is semantic hashing which d...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Byte Magazine Volume 00 Number 16 - Machine Readable Print
Foreground THE CYBERNETIC CRAYON p.24 [theme Graphics Systems] [author Dwyer-Sweer] p.139 [theme Portfolio of Explorations] [author Critchfield] p.30 THE BURIED GOLD IN THE SR-52 [theme Systems Progra...
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Anisotropy Across Fields and Scales
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Theoretical Mechanics
No description available....
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Biodiversity and Health in the Face of Climate Change
...
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Compressing Deep Convolutional Networks using Vector Quantization
Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating record breaking results for image classification and object detection in ...
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CIA Reading Room cia-rdp86-00513r000204820004-1: SCIENTIFIC ABSTRACT BEREZHNOY, I.V. - BEREZHNYY, Y.
"APPROVED FOR RELEASE: 06/08/2000 CIA-RDP86-00513R000204820004-1APPROVED FOR RELEASE: 06/08/2000 CIA-RDP86-00513R000204820004-1""APPROVED FOR RELEASE: 06/08/2000 CIA-RDP86-00513R000204820004-1AUTHOR:T...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Bayesian Methods in the Search for MH370
...
View Book →ACM SIGGRAPH '89 Course Notes
No description available....
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DTIC ADA512059: Multimodal Speaker Authentication using Nonacoustic Sensors
Many nonacoustic sensors are now available to augment user authentication. Devices such as the GEMS (glottal electromagnetic micro-power sensor), the EGG (electroglottograph), and the P-mic (physiolog...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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A Routing Protocol for Packet Radio Networks
The authors present a new distance-vector routing protocol for a packet radio network. The new distributed routing protocol, Wireless Routing Protocol (WRP), works on the notion of second-to-last hop ...
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Quantization based Fast Inner Product Search
We propose a quantization based approach for fast approximate Maximum Inner Product Search (MIPS). Each database vector is quantized in multiple subspaces via a set of codebooks, learned directly by m...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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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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Algorithmic Graph Theory and Sage
...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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DTIC ADA454724: A New Biologically Motivated Framework for Robust Object Recognition
In this paper,we introduce a novel set of features for robust object recognition, which exhibits outstanding performances on a variety of object categories while being capable of learning from only a ...
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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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Detection of acute stress caused by cognitive tasks based on physiological signals
We report on the development of an automated detector of acute stress based on physiological signals. Our detector discriminates between high and low levels of acute stress accumulated by students whe...
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Representation Learning for Natural Language Processing
...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Computer Graphics and Geometric Modeling
Joseph-Louis Lagrange (1736-1813), one of the greatest mathematicians of the 18th century, made important contributions to the theory of numbers and to analytical and celestial mechanics. His most imp...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Optimized ensemble modeling approach for student cumulative grade point average prediction using reg
This research focuses on developing models to accurately predict student’s cumulative grade point average (CGPA) in the early stages of their study to tackle the problem of dropout rates in educatio...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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From Node Embedding To Community Embedding
Most of the existing graph embedding methods focus on nodes, which aim to output a vector representation for each node in the graph such that two nodes being "close" on the graph are close too in the ...
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Variant Construction from Theoretical Foundation to Applications
...
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Holistic Features For Real-Time Crowd Behaviour Anomaly Detection
This paper presents a new approach to crowd behaviour anomaly detection that uses a set of efficiently computed, easily interpretable, scene-level holistic features. This low-dimensional descriptor co...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Deep Bottleneck Features for Spoken Language Identification.
This article is from PLoS ONE , volume 9 . Abstract A key problem in spoken language identification (LID) is to design effective representations which are specific to language information. For example...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Journal of the Optical Society of America
No description available....
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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An Elementary Treatise on Solid Geometry
No description available....
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Foundations of Machine Learning
...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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