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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 ...
Perceptions and use of urban green spaces on the basis of size
(Elsevier GmbH, 2019)
Wavelet-based fingerprint image retrieval
(Scopus, 2009)
This paper presents a novel approach for personal identification based on a wavelet-based fingerprint retrieval system which encompasses three image retrieval tasks, namely, feature extraction, similarity measurement, and ...
Case 15-2012: Diplopia, headaches, and papilledema
(Massachusetts Medical Society, 2012)
Neurocysticercosis is endemic in most of the world, and it accounts for 2% of seizure cases in some areas of the United States.1 Extraparenchymal neurocysticercosis, discussed in the Case Record involving a patient with ...
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. ...
Compact and discriminative approach for encoding spatial-relationship of visual words
(Association for Computing Machinery - ACMUniversity of SalamancaSalamanca, 2015-04)
The Bag-of-Visual-Words approach has been successfully used for video and image analysis by encoding local features as visual words, and the final representation is a histogram of the visual words detected in the image. ...
Feature selection on wide multiclass problems using OVA-RFE
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-12)
Feature selection is a pre–processing technique commonly used with high–dimensional datasets. It is aimed at reducing the dimensionality of the input space, discarding useless or redundant variables, in order to increase ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...