Wyniki wyszukiwania dla: FEATURE DECOUPLING

• Feature Reduction Using Similarity Measure in Object Detector Learning with Haar-like Features

  Publikacja

  • J. Dembski

  - Rok 2016

  This paper presents two methods of training complexity reduction by additional selection of features to check in object detector training task by AdaBoost training algorithm. In the first method, the features with weak performance at first weak classifier building process are reduced based on a list of features sorted by minimum weighted error. In the second method the feature similarity measures are used to throw away that features...

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• Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach

  Publikacja

  • X. Chen
  • H. Wu
  • B. Han
  • W. Liu
  • J. Montewka
  • R. W. Liu

  - ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - Rok 2023

  Ship imaging position plays an important role in visual navigation, and thus significant focuses have been paid to accurately extract ship imaging positions in maritime videos. Previous studies are mainly conducted in the horizontal ship detection manner from maritime image sequences. This can lead to unsatisfied ship detection performance due to that some background pixels maybe wrongly identified as ship contours. To address...

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• Texture Features for the Detection of Playback Attacks: Towards a Robust Solution

  Publikacja

  • M. Smiatacz

  - Advances in Intelligent Systems and Computing - Rok 2020

  This paper describes the new version of a method that is capable of protecting automatic speaker verification (ASV) systems from playback attacks. The presented approach uses computer vision techniques, such as the texture feature extraction based on Local Ternary Patterns (LTP), to identify spoofed recordings. Our goal is to make the algorithm independent from the contents of the training set as much as possible; we look for the...

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• A cortex-like model for animal recognition based on texture using feature-selective hashing

  Publikacja

  • S. Seifzadeh

  - Rok 2014

• LECTURE NOTES IN COMPUTER SCIENCE

  Czasopisma

  ISSN: 0302-9743

• Cost-Efficient Globalized Parameter Optimization of Microwave Components through Response-Feature Surrogates and Nature-Inspired Metaheuristics

  Publikacja

  • A. Pietrenko-Dąbrowska
  • S. Kozieł
  • Ł. Gołuński

  - IEEE Access - Rok 2024

  Design of contemporary microwave devices predominantly utilizes computational models, including both circuit simulators, and full-wave electromagnetic (EM) evaluation. The latter constitutes the sole generic way of rendering accurate assessment of the system outputs that considers phenomena such as cross-coupling or radiation and dielectric losses. Consequently, for reliability reasons, the final tuning of microwave device parameters...

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• Improved Procedures for Feature-Based Suppression of Surface Texture High-Frequency Measurement Errors in the Wear Analysis of Cylinder Liner Topographies

  Publikacja

  • P. Podulka

  - Metals - Rok 2021

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• Future of nature, our future. A preregistered report on future time perspective, social value orientation, and pro-environmental outcomes based on data from Poland and Sweden

  Publikacja

  • I. Nowakowska
  • M. Rönnlund

  - Frontiers in Psychology - Rok 2023

  Introduction: The objective of the study was to examine the role of social value orientation and future time perspective to account for individual differences in pro-environmental behaviors, intentions, and opinions about the link between pro-environmental action and pandemic threat (three separate models) in Polish and Swedish samples expected to differ in rate of pro-environmental behaviors (higher in Sweden). We hypothesized...

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• An Approach to RBF Initialization with Feature Selection

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - Rok 2015

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• Application of discriminant analysis to feature extraction.

  Publikacja

  • W. Malina
  • A. Kołakowska
  • M. Smiatacz

  - Rok 2003

  Pierwotnie uzyskiwane wektory cech są wysokowymiarowe. Redukcja wymiarowości jest często osiągana poprzez transformacje przestrzeni cech. Niniejsza praca prezentuje uogólnione kryterium Fishera i jego podstawowe własności, dyskutowana jest także możliwość wyprowadzania i oceny heurystycznych metod ekstrakcji cech. Przedstawiono również nowy sekwencyjny algorytm selekcji cech dyskryminacyjnych.