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LCNN: Low-level Feature Embedded CNN for Salient Object Detection
In this paper, we propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images. We utilise the advantage of convolutional neural...
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Breast Cancer Diagnostic System Based on MR images Using KPCA-Wavelet Transform and Support Vector M
Automated detection and accurate classification of breast tumors using magnetic resonance image (MRI) are very important for medical analysis and diagnostic fields. Over the last ten years, numbers of...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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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...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Understanding Machine Learning
From Theory to Algorithms...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
View Book →Calculus - Concepts and Contexts, Volume 1 - Featuring an Introduction to Vectors
First published in 2009...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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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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Anisotropy Across Fields and Scales
...
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An Interruption Discovery Structure Depend on Cluster Centres and Adjacent Neighbours
The aim of an interruption discovery structure (IDS) is to notice various types of hateful network transfer and computer usage, which cannot be detected by a straight firewall. Many IDS have been urba...
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NASA Technical Reports Server (NTRS) 19870011345: Piecewise linear approximation for hereditary cont
Finite dimensional approximations are presented for linear retarded functional differential equations by use of discontinuous piecewise linear functions. The approximation scheme is applied to optimal...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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NASA Technical Reports Server (NTRS) 19900010780: Airplane takeoff and landing performance monitorin
The invention is a real-time takeoff and landing performance monitoring system which provides the pilot with graphic and metric information to assist in decisions related to achieving rotation speed (...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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An automated classification approach to ranking photospheric proxies of magnetic energy build-up
We study the photospheric magnetic field of ~2000 active regions in solar cycle 23 to search for parameters indicative of energy build-up and subsequent release as a solar flare. We extract three sets...
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Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature ext
Vector-quantized local features frequently used in bag-of-visual-words approaches are the backbone of popular visual recognition systems due to both their simplicity and their performance. Despite the...
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Chiral approach to phi radiative decays
The radiative decays of the phi meson are known to be a good source of information about the a0(980) and f0(980) scalar mesons. We discuss these decays starting from a non-linear model Lagrangian whic...
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Drug activity prediction using multiple-instance learning via joint instance and feature selection.
This article is from BMC Bioinformatics , volume 14 . Abstract Background: In drug discovery and development, it is crucial to determine which conformers (instances) of a given molecule are responsibl...
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Bayesian Methods in the Search for MH370
...
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Heart disease prediction optimization using metaheuristic algorithms
This study explores metaheuristics hyperparameter tuning effectiveness in machine learning models for heart disease prediction. The optimized models are k-nearest neighbors (KNN) and support vector ma...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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First-order Cosmological Perturbations Engendered by Point-like Masses
In the framework of the concordance cosmological model the first-order scalar and vector perturbations of the homogeneous background are derived in the weak gravitational field limit without any suppl...
View Book →Short-Time feature vector based phonemic speech recognition with the aid of local context
First published in 1991...
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50 Mandalas for Stress-Relief Adult Coloring Book
First published in 2020...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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NASA Technical Reports Server (NTRS) 19830005795: Mean-flow measurements of the flow field diffusing
Time-average measurements of the low-speed turbulent flow in a diffusing bend are presented. The experimental geometry consists of parallel top and bottom walls and curved diverging side walls. The tu...
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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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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Signal Computing
Digital Signals in the Software Domain...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Automated feature selection with a distinction sensitive learning vector quantizer
First published in 1994...
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Hybrid multi-layer Deep CNN/Aggregator feature for image classification
Deep Convolutional Neural Networks (DCNN) have established a remarkable performance benchmark in the field of image classification, displacing classical approaches based on hand-tailored aggregations ...
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Development of a brain MRI-based hidden Markov model for dementia recognition.
This article is from BioMedical Engineering OnLine , volume 12 . Abstract Background: Dementia is an age-related cognitive decline which is indicated by an early degeneration of cortical and sub-corti...
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2
Microgrids are quickly becoming a great success for the future of electricity. The notion of the microgrid combines several microsources without interfering with the functioning of the larger utility ...
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Biodiversity and Health in the Face of Climate Change
...
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Predicting Stock Price by Using Attention-Based Hybrid LSTM Model
The financial markets are inherently complex and dynamic, characterized by high volatility and the influence of numerous factors. Predicting stock price trends is a challenging endeavor that has been ...
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Foundations of Machine Learning
...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Variant Construction from Theoretical Foundation to Applications
...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Linear Selection Indices in Modern Plant Breeding
...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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A ROBUST MULTI-SENSOR DEEP REGRESSION FRAMEWORK FOR PREDICTIVE PLANT GROWTH MODELLING IN CONTROLLED
The analysis of plant growth and development in controlled agricultural environments has become increasingly important to ensure sustainable and efficient food production. Traditionally, plant monitor...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Algorithmic Graph Theory and Sage
...
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Generating and structuring terrain features on parallel vector architectures
First published in 1988...
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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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Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
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Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm
We consider a multi-neighborhood local search algorithm with a large number of possible neighborhoods. Each neighborhood is accompanied by a weight value which represents the probability of being chos...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine.
This article is from Sensors (Basel, Switzerland) , volume 12 . Abstract Automatic classification of fruits via computer vision is still a complicated task due to the various properties of numerous ty...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Representation Learning for Natural Language Processing
...
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