Improving Video Classification Accuracy using Cloud

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

Improving Classification Accuracy Using Gene Ontology Information

Classification problems, e.g., gene function prediction problem, are very important in bioinformatics. Previous work mainly focuses on the improvement of classification techniques used. With the emergence of Gene Ontology (GO), extra knowledge about the gene products can be extracted from GO. Such kind of knowledge reveals the relationship of the gene products and is helpful for solving the cla...

متن کامل

Improving Classification Accuracy Using Code Migration

Classification is a data mining technique widely used in critical domains like financial risk analysis, biology, communication network management, etc. Classification accuracy and learning from distributed datasets are the most challenging topics in the field of supervised learning. In this paper, we first briefly review the background of parallel and distributed classification algorithms and t...

متن کامل

Improving Cancer Classification Accuracy Using Gene Pairs

Recent studies suggest that the deregulation of pathways, rather than individual genes, may be critical in triggering carcinogenesis. The pathway deregulation is often caused by the simultaneous deregulation of more than one gene in the pathway. This suggests that robust gene pair combinations may exploit the underlying bio-molecular reactions that are relevant to the pathway deregulation and t...

متن کامل

SFLA Based Gene Selection Approach for Improving Cancer Classification Accuracy

 In this paper, we propose a new gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called SFLA-FS. The proposed algorithm is used for improving cancer classification accuracy. Most of the biological datasets such as cancer datasets have a large number of genes and few samples. However, most of these genes are not usable in some tasks for example in cancer classification....

متن کامل

Improving Imbalanced data classification accuracy by using Fuzzy Similarity Measure and subtractive clustering

 Classification is an one of the important parts of data mining and knowledge discovery. In most cases, the data that is utilized to used to training the clusters is not well distributed. This inappropriate distribution occurs when one class has a large number of samples but while the number of other class samples is naturally inherently low. In general, the methods of solving this kind of prob...

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: International Journal for Research in Applied Science and Engineering Technology

سال: 2019

ISSN: 2321-9653

DOI: 10.22214/ijraset.2019.4506