Shape-Based Single Object Classification Using Ensemble Method Classifiers
نویسندگان
چکیده
منابع مشابه
Bird Classification using Ensemble Classifiers
This working note summarizes our submission to the LifeCLEF 2014 Bird Task which combines the outputs from a Python and Matlab classification system. The features used for both systems include Mel-Frequency Cepstral Coefficients (MFCC), time-averaged spectrograms and the provided meta-data. The Python subsystem combines a large ensemble of different classifiers with different subsets of the fea...
متن کاملA New Classifiers Ensemble Method for Handwritten Pen Digits Classification
Recent researches have shown that ensembles of classifiers have more accuracy than a single classifier. Baging, boosting and error correcting output codes (ECOC) are most common ways for creating combination of classifiers. In this paper a new method for ensemble of classifiers has been introduced and performance of this method examined by applying to handwritten pen digits dataset. Experimenta...
متن کاملShape Classification with Statistical Classifiers using Morphological Shape Representation Features
This paper compares the performance of four statistical classifiers, namely linear discriminant classifier, quadratic discriminant classifier, k-Nearest Neighborhood classifier, and parzen classifier are considered for recognition of 2D-shapes. The two features from morphological skeletons and four features from morphological shape decomposition are identified from 2D-shapes. These features are...
متن کاملClassification of Ophthalmologic Images Using an Ensemble of Classifiers
The human eye may present refractive errors as myopia, hypermetropia and astigmatism. This article presents the development of an Ensemble of Classifiers as part of a Refractive Errors Measurement System. The system analyses Hartmann-Shack images from human eyes in order to identify refractive errors, wich are associated to myopia, hypermetropia and astigmatism. The ensemble is composed by thre...
متن کاملAutomatic Genre Classification of Latin Music Using Ensemble of Classifiers
This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. Individual classifiers are trained to account for each music segment. During classification, the output provided by each classifier is combined with ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Advanced Science, Engineering and Information Technology
سال: 2017
ISSN: 2460-6952,2088-5334
DOI: 10.18517/ijaseit.7.5.1340