Results 251 to 260 of about 490,396 (287)

A LETTER‐DIGIT MATRIX OF AUDITORY CONFUSIONS

British Journal of Psychology, 1973
A matrix is presented of the errors of perception made by 135 men and women listening to three male and three female speakers reading aloud different randomized lists constructed from the letters of the alphabet and the digits 1–9, heard in white noise. Data from a short‐term memory (STM) experiment, using simultaneous visual presentation and immediate
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Phonetic confusion matrix based spoken document retrieval

Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, 2000
Combined word-based index and phonetic indexes have been used to improve the performance of spoken document retrieval systems primarily by addressing the out-of-vocabulary retrieval problem. However, a known problem with phonetic recognition is its limited accuracy in comparison with word level recognition.
Savitha Srinivasan, Dragutin Petkovic
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Confusion Matrix as Performance Measure for Corner Detectors

Journal of Advanced Research in Applied Sciences and Engineering Technology, 2022
Nowadays, corner detection algorithms have been proposed by several researchers who described them contrarily, depending on their respective viewpoints to obtain the data and information as a human eye does. Basically, no researchers have come up with a technique to compare corner detectors with another’s.
null Nurul Ehsan Ramli, null Zainor Ridzuan Yahya, null Nor Azinee Said   +2 more
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Complete Control of an Observed Confusion Matrix

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The error matrix has been adopted as a standard way to report on the thematic accuracy of any remotely sensed data product. A very usual way to perform the thematic accuracy analysis of an error matrix is by means of global indexes (e.g. overall accuracy, Kappa coefficient). But global indices do not allow for a category-wise control.
F.J. Ariza-Lopez, J. Rodriguez-Avi, M.V. Alba-Fernandez   +2 more
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Confusion Matrix Visualization

2004
Using the technique of multidimensional scaling the paper demonstrates a method of visualizing a configuration of classes as it is perceived by a classifier. The methodology serves to assist the analysis of multi-class classification problems, where the final result of averaged accuracy or averaged error is not sufficient.
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Naval Target Classification Based on the Confusion Matrix

2008 IEEE Aerospace Conference, 2008
In this paper, we propose an algorithm for the classification of naval targets, which is based on the fusion of the class information provided by three imaging sensors: a video camera, an infrared (IR) camera, and an airborne radar operating in spotlight Synthetic Aperture Radar (SAR) mode.
S. Giompapa, A. Farina, GINI, FULVIO, A. Graziano, R. Croci, R. Di Stefano   +5 more
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On the Confusion Matrix

Configurations
ABSTRACT: Confusion matrices are graphical objects used in machine learning to demonstrate the efficacy of models. They frequently take the form of brightly colored figures adorning scientific reports and technical documents. Guiding readers of these texts through an interpretation of models with their special affordances, such as diagonal lines that ...
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Analysis and Presentation of Confusion-Matrix Data

The Journal of the Acoustical Society of America, 1965
As part of the work on an automatic speech recognizer, an approach has been developed to the analysis and presentation of results from confusion tests on potential vocabularies. The method depends on taking the null hypothesis that, if errors occur in a series of responses to a stimulus word.
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Using the confusion matrix for improving ensemble classifiers

2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel, 2010
The code matrix enables to convert a multi class problem into an ensemble of binary classifiers. We suggest a new un-weighted framework for iteratively extending the code matrix which based on confusion matrix. The confusion matrix holds important information which is exploited by the suggested framework.
Nadav David Marom, Lior Rokach, Armin Shmilovici   +2 more
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Proper comparison among methods using a confusion matrix

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
An important aspect of research in the remote sensing field is to objectively compare different classifiers. This is the foundation of hundreds of research projects and in this paper we will address some raising concerns when evaluating solutions for classification of data sets with skewed class distributions.
B. P. Salmon, W. Kleynhans, C. P. Schwegmann, J. C. Olivier   +3 more
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