A Feature Optimization Approach Based on Inter-Class and Intra-Class Distance for Ship Type Classification

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Feature-based Malicious URL and Attack Type Detection Using Multi-class Classification

Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, it becomes necessary to know the attack type and adopt an effective countermeasure. This pa...

متن کامل

Direct Sparsity Optimization Based Feature Selection for Multi-Class Classification

A novel sparsity optimization method is proposed to select features for multi-class classification problems by directly optimizing a l2,p -norm ( 0 < p ≤ 1 ) based sparsity function subject to data-fitting inequality constraints to obtain large between-class margins. The direct sparse optimization method circumvents the empirical tuning of regularization parameters in existing feature selection...

متن کامل

A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

متن کامل

A Method for Eliminating Class Noise in Text Classification Based on Feature Class Attribute

This paper presents a novel algorithm for eliminating class noise based on the analysis of the feature class attribute in text classification. The algorithm can eliminate class noise for classifier by mining the most representative class information of text features, which means that the algorithm can actively prejudge the candidate class labels to unseen documents using the class attribute lin...

متن کامل

On Inter-Method and Intra-Method Object-Oriented Class Cohesion

Cohesion has been a topic of interest since structured design [20, 23] in the 1970’s. Today, there are numerous researchers continuing this work into object-oriented designs [1, 3, 5, 7, 9, 10, 12, 13, 16, 18, 19, 22]. Most of the current research has focused on the interaction of methods within a class, the inter-method cohesion. In this paper we consider both the inter-method cohesion and the...

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: Sensors

سال: 2020

ISSN: 1424-8220

DOI: 10.3390/s20185429