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Interactive Vector Field Feature Identification
(IEEE COMPUTER SOC, 2010)
We introduce a flexible technique for interactive exploration of vector field data through classification derived from user-specified feature templates. Our method is founded on the observation that, while similar features ...
Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression
(John Wiley & Sons LtdChichesterInglaterra, 2009)
Improved multiclass feature selection via list combination
(Pergamon-Elsevier Science Ltd, 2017-12)
Feature selection is a crucial machine learning technique aimed at reducing the dimensionality of the input space. By discarding useless or redundant variables, not only it improves model performance but also facilitates ...
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
(2022-01-17)
One of the main challenges in applying machine learning algorithms to biological sequence data is how to numerically represent a sequence in a numeric input vector. Feature extraction techniques capable of extracting ...
Social-Spider Optimization-based Support Vector Machines applied for energy theft detection
(Elsevier B.V., 2016-01-01)
The problem of Support Vector Machines (SVM) tuning parameters (i.e., model selection) has been paramount in the last years, mainly because of the high computational burden for SVM training step. In this paper, we address ...
Exponential family Fisher vector for image classification
(Elsevier Science, 2015-07)
One of the fundamental problems in image classification is to devise models that allow us to relate the images to higher-level semantic concepts in an efficient and reliable way. A widely used approach consists on extracting ...
Bread crumb classification using fractal and multifractal features
(2012-11)
Adequate image descriptors are fundamental in image classification and object recognition. Main requirements for image features are robustness and low dimensionality which would lead to low classification errors in a variety ...
Line based camera calibration in machine vision dynamic applications
(1999-12-01)
The problem of dynamic camera calibration considering moving objects in close range environments using straight lines as references is addressed. A mathematical model for the correspondence of a straight line in the object ...
Um modelo para orientação de imagens orbitais baseado em feições retas
(2006-07-01)
The aim of this paper is to present a model for orientation of pushbroom sensors that allows estimating the polynomial coefficients describing the trajectory of the platform, using linear features as ground control. ...