Search Results - subject:"Feature Extraction"

Product innovation based on online review data mining : a case study of Huawei phones

Zhang, Hui; Rao, Huguang; Feng, Junzheng - In: Electronic commerce research 18 (2018) 1, pp. 3-22

Persistent link: https://www.econbiz.de/10011813135

Personalized recommendation algorithm based on product reviews

Wang, Zhibo; Wan, Mengyuan; Cui, Xiaohui; Liu, Lin; … - In: Journal of electronic commerce in organizations : the … 16 (2018) 3, pp. 22-38

Persistent link: https://www.econbiz.de/10011886310

A framework for inspection of dies attachment on PCB utilizing machine learning techniques

Vafeiadis, Thanasis; Dimitriou, Nikolaos; Ioannidis, … - In: Journal of management analytics 5 (2018) 2, pp. 81-94

Persistent link: https://www.econbiz.de/10011890630

An Application of Stereo Matching Algorithm for Waste Bin Level Estimation

Islam, Md. Shafiqul; Hannan, M.A.; Basri, Hasan - In: Journal of Asian Scientific Research 2 (2012) 11, pp. 731-736

algorithms for depth feature extraction are also discussed. GUI has developed using Matlab for classifying the waste bin. It …

Persistent link: https://www.econbiz.de/10010592870

Performance Evaluation of Feed-Forward Neural Network Models for Handwritten Hindi Characters with Different Feature Extraction Methods

Singh, Gunjan; Kumar, Sandeep; Singh, Manu Pratap - In: International Journal of Artificial Life Research (IJALR) 7 (2017) 2, pp. 38-57

cursive in nature and demonstrate a lot of similar features. A number of feature extraction, classification and recognition … characters using various feature extraction methods. To study and analyze the performance of the selected neural networks … backpropagation neural network gives lowest recognition rate for most of the selected feature extraction methods. …

Persistent link: https://www.econbiz.de/10012042919

Feature Extraction of Video Using Artificial Neural Network

Takahashi, Akiko; Hayakawa, Yoshihiro; Oonuma, Takanori; … - In: International Journal of Cognitive Informatics and … 11 (2017) 2, pp. 25-40

coding, through an image feature extraction function obtained when identity mapping learning is applied to sandglass …

Persistent link: https://www.econbiz.de/10012043683

Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies

Wang, Yingxu; Peng, Jun; Shi, Jinliang; Luo, Kan; Bai, … - In: International Journal of Cognitive Informatics and … 11 (2017) 4, pp. 80-92

Music emotions recognition (MER) is a challenging field of studies addressed in multiple disciplines such as musicology, cognitive science, physiology, psychology, arts and affective computing. In this article, music emotions are classified into four types known as those of pleasing, angry, sad...

Persistent link: https://www.econbiz.de/10012043696

The State-of-the-Art Technology of Currency Identification: A Comparative Study

Yan, WeiQi; Wang, Guangyu; Wu, Xiaotian - In: International Journal of Digital Crime and Forensics (IJDCF) 9 (2017) 3, pp. 58-72

study of feature extraction and classification algorithms of currency notes authentication. We extract various computational …

Persistent link: https://www.econbiz.de/10012043949

Application of Machine Learning Algorithms to a Well Defined Clinical Problem: Liver Disease

Singh, Aman; Pandey, Babita; Takkar, Sakshi - In: International Journal of E-Health and Medical … 8 (2017) 4, pp. 38-60

Liver diseases represent a major health burden worldwide. Machine learning (ML) algorithms have been extensively used to diagnose liver disease. This study accordingly aims to employ various individual and integrated ML algorithms on distinct liver disease datasets for evaluating the diagnostic...

Persistent link: https://www.econbiz.de/10012044444

Identifying the Opinion Orientation of Online Product Reviews at Feature Level: A Pruning Approach

Chauhan, Nilanshi; Singh, Pardeep - In: International Journal of Information System Modeling … 8 (2017) 2, pp. 92-111

This article describes how e-commerce has become so vast that almost every product and service can be purchased online, to be delivered at our doorsteps. This has led to a striking increase in the number of online customers. In an attempt to make the online shopping more appealing and...

Persistent link: https://www.econbiz.de/10012045647