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A Hybrid Visualization Approach to Perform Analysis of Feature Spaces
(2020-01-01)
In this paper, we propose a hybrid visualization by combining a projection based approach with star plot visualization to inspect feature spaces. While the projection based visualization is used to depict the instances ...
Improving image classification through descriptor combination
(2012-12-01)
The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different ...
Simplified stress and simplified silhouette coefficient to a faster quality evaluation of multidimensional projection techniques and feature spaces
(2015-09-18)
Several multidimensional projection techniques have been proposed in literature over the last years. The quality of those techniques can be evaluated based on the dimensionality reduction or the clusters quality. The first ...
Feature Selection Using Geometric Semantic Genetic Programming
(Assoc Computing Machinery, 2017-01-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. During the last years, the problem of feature selection has been ...
Feature Selection for Privileged Modalities in Disease Classification
(2021-01-01)
Multimodal data allows supervised learning while considering multiple complementary views of a problem, improving final diagnostic performance of trained models. Data modalities that are missing or difficult to obtain in ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Handwritten feature descriptor methods applied to fruit classification
(2018-01-01)
Several works have presented distinct ways to compute feature descriptor from different applications and domains. A main issue in Computer Vision systems is how to choose the best descriptor for specific domains. Usually, ...
Three-phase tri-state integrated boost inverter with special space vector and dq0 control
(2012-10-05)
This paper presents a three-phase integrated inverter suitable for stand-alone and grid-connected applications. Furthermore, the utilization of the special features of the tri-state coupled with the new space vector ...
Oriented texture classification based on self-organizing neural network and Hough transform
(1997-01-01)
This paper presents a technique for oriented texture classification which is based on the Hough transform and Kohonen's neural network model. In this technique, oriented texture features are extracted from the Hough space ...
Evaluating a convolutional neural network for feature extraction and tree species classification using uav-hyperspectral images
(2020-08-03)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. ...