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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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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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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Online Learning to Rank with Feedback at the Top
We consider an online learning to rank setting in which, at each round, an oblivious adversary generates a list of $m$ documents, pertaining to a query, and the learner produces scores to rank the doc...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Document Ranking using Customizes Vector Method
Information retrieval (IR) system is about positioning reports utilizing client's question and get the important records from extensive dataset. Archive positioning is fundamentally looking the pertin...
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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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Finite Difference Computing with PDEs
A Modern Software Approach...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Query Clustering using Segment Specific Context Embeddings
This paper presents a novel query clustering approach to capture the broad interest areas of users querying search engines. We make use of recent advances in NLP - word2vec and extend it to get query2...
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PQTable: Non-exhaustive Fast Search for Product-quantized Codes using Hash Tables
In this paper, we propose a product quantization table (PQTable); a fast search method for product-quantized codes via hash-tables. An identifier of each database vector is associated with the slot of...
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Biodiversity and Health in the Face of Climate Change
...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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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...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →CHIP DVD-ROM Romania June 2006
CHIP DVD-ROM cover disk, Romania, June 2006 Highlights MyDVD SlideShow MS Office 2007b2 Trial InDesign CS 2 Dreamweaver 8 Cinema 4D 9.6 Kaspersky AV 6 Borland DS Intro Pe acest DVD veti regasi o selec...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Linear Selection Indices in Modern Plant Breeding
...
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Variant Construction from Theoretical Foundation to Applications
...
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Foundations of Machine Learning
...
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Anisotropy Across Fields and Scales
...
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Developing Graphics Frameworks with Python and OpenGL
...
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Quantum Query as a State Decomposition
The Quantum Query Model is a framework that allows us to express most known quantum algorithms. Algorithms represented by this model consist on a set of unitary operators acting over a finite Hilbert ...
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Solving PDEs in Python
The FEniCS Tutorial I...
View Book →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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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Bayesian Methods in the Search for MH370
...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Algorithmic Graph Theory and Sage
...
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Representation Learning for Natural Language Processing
...
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Predicting Unemployment Claims Using Regional and Exogenous Signals: A Sparse Modeling Approach
In this paper we apply a time series based Vector Auto Regressive (VAR) approach to the problem of predicting unemployment insurance claims in different census regions of the United States. Unemployme...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Analysis of Text Classification Algorithms A Review
Classification of data has become an important research area. The process of classifying documents into predefined categories based on their content is Text classification. It is the automated assignm...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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A Novel Hybrid Classification Approach for Sentiment Analysis of Text Document
Sentiment analysis is a more popular area of highly active research in Automatic Language Processing. She assigns a negative or positive polarity to one or more entities using different natural langua...
View Book →Extending the boolean and vector space models of information retrieval with p-norm queries and multi
First published in 1983...
View Book →Use of genetic algorithms for query improvement in information retrieval based on a vector space mod
First published in 1994...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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sovereign-frequency-archive
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>THE SOVEREIGN FREQUENCY...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Signal Computing
Digital Signals in the Software Domain...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
View Book →Implementation of Experts' Retrieval Model Using Latent Semantic Indexing (LSA) Method and Temporal
Introduction : Retrieval of experts is a subset of information retrieval that aims to provide a ranking of people who have knowledge in a particular field. Automated expertise work is challenging due ...
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Understanding Machine Learning
From Theory to Algorithms...
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