Nearest Neighbor For Histogram-based Feature Extraction

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nearest Neighbor For Histogram-based Feature Extraction

Manual grading process of Fresh Fruit Bunch (FFB) leads to misconduct and human error while inspecting the right category of fruits for the purpose of oil palm production at the mill. It is extremely important to identify the degree of ripeness of FFB are at 95% level of confidence as mentioned by Malaysian Palm Oil Board (MPOB). Therefore, wrong evaluation of graded fruits will result wrong re...

متن کامل

Feature extraction for nearest neighbor classification: Application to gender recognition

In this article, we perform an extended analysis of different face-processing techniques for gender recognition problems. Prior research works show that support vector machines (SVM) achieve the best classification results. We will show that a nearest neighbor classification approach can reach a similar performance or improve the SVM results, given an adequate selection of features of the input...

متن کامل

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

متن کامل

Nearest Neighbor Classifier Based on Nearest Feature Decisions

High feature dimensionality of realistic datasets adversely affects the recognition accuracy of nearest neighbor (NN) classifiers. To address this issue, we introduce a nearest feature classifier that shifts the NN concept from the global-decision level to the level of individual features. Performance comparisons with 12 instance-based classifiers on 13 benchmark University of California Irvine...

متن کامل

Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification

We consider feature selection and weighting for nearest neighbor classifiers. Atechnical challenge in this scenario is how to cope with discrete update of nearestneighbors when the feature space metric is changed during the learning process.This issue, called the target neighbor change, was not properly addressed in theexisting feature weighting and metric learning literature. I...

متن کامل

ذخیره 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: Procedia Computer Science

سال: 2011

ISSN: 1877-0509

DOI: 10.1016/j.procs.2011.04.140