
Opytimizer: A NatureInspired Python Optimizer
Optimization aims at selecting a feasible set of parameters in an attemp...
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Particle Competition and Cooperation for SemiSupervised Learning with Label Noise
Semisupervised learning methods are usually employed in the classificat...
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Building Networks for Image Segmentation using Particle Competition and Cooperation
Particle competition and cooperation (PCC) is a graphbased semisupervi...
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OPFython: A PythonInspired OptimumPath Forest Classifier
Machine learning techniques have been paramount throughout the last year...
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Simple Interactive Image Segmentation using Label Propagation through kNN graphs
Many interactive image segmentation techniques are based on semisupervi...
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LibOPT: An OpenSource Platform for Fast Prototyping Soft Optimization Techniques
Optimization techniques play an important role in several scientific and...
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How far did we get in face spoofing detection?
The growing use of control access systems based on face recognition shed...
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A Probabilistic OptimumPath Forest Classifier for Binary Classification Problems
Probabilisticdriven classification techniques extend the role of tradit...
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Estimating the concentration of gold nanoparticles incorporated on Natural Rubber membranes using MultiLevel Starlet Optimal Segmentation
This study consolidates MultiLevel Starlet Segmentation (MLSS) and Mult...
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Pattern recognition issues on anisotropic smoothed particle hydrodynamics
This is a preliminary theoretical discussion on the computational requir...
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Segmentation of scanning electron microscopy images from natural rubber samples with gold nanoparticles using starlet wavelets
Electronic microscopy has been used for morphology evaluation of differe...
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JansenMIDAS: a multilevel photomicrograph segmentation software based on isotropic undecimated wavelets
Image segmentation, the process of separating the elements within an ima...
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An automatic method for segmentation of fission tracks in epidote crystal photomicrographs
Manual identification of fission tracks has practical problems, such as ...
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Topdown and Bottomup Feature Combination for Multisensor Attentive Robots
The information available to robots in real tasks is widely distributed ...
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OpenMP GNU and Intel Fortran programs for solving the timedependent GrossPitaevskii equation
We present Open MultiProcessing (OpenMP) version of Fortran 90 programs...
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OpenMP, OpenMP/MPI, and CUDA/MPI C programs for solving the timedependent dipolar GrossPitaevskii equation
We present new versions of the previously published C and CUDA programs ...
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MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection
We introduce MilkQA, a question answering dataset from the dairy domain ...
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An algorithm for hiding and recovering data using matrices
We present an algorithm for the recovery of a matrix M (nonsingular ∈ ...
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A distancebased toolset to track inconsistent urban structures through complexnetworks
Complex networks can be used for modeling street meshes and urban agglom...
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On the Learning of Deep Local Features for Robust Face Spoofing Detection
Biometrics emerged as a robust solution for security systems. However, g...
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Spatiotemporal CNNs for Pornography Detection in Videos
With the increasing use of social networks and mobile devices, the numbe...
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Interactive Image Segmentation using Label Propagation through Complex Networks
Interactive image segmentation is a topic of many studies in image proce...
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Unsupervised Graphbased Rank Aggregation for Improved Retrieval
This paper presents a robust and comprehensive graphbased rank aggregat...
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Optimal SpaceTime Block Code Designs Based on Irreducible Polynomials of Degree Two
The main of this paper is to prove that in terms of normalized density, ...
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On the Statistics of the Ratio of NonConstrained Arbitrary αμ Random Variables: a General Framework and Applications
In this paper, we derive closedform exact expressions for the main stat...
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WellRounded Lattices via Polynomials
Wellrounded lattices have been a topic of recent studies with applicati...
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A metalearning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers
For many machine learning algorithms, predictive performance is critical...
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On the connection between DeutschJozsa algorithm and bent functions
It is presently shown that the DeutschJozsa algorithm is connected to t...
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