|
|
|
|
|
Ashish Bagwari, Anurag Sinha, N. K. Singh, Namit Garg and Jyotshana Kanti
Business-based decision support systems have been proposed for a few decades in the e-commerce and textile industries. However, these Decision Support Systems (DSS) have not been so productive in terms of business decision delivery. In our proposed model...
ver más
|
|
|
|
|
|
|
|
|
Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of...
ver más
|
|
|
|
|
|
|
|
|
Zhiqiang Zhang, Chen Fu, Wei Weng and Jinjia Zhou
Due to the high flexibility and conformity to people?s usage habits, text description has been widely used in image synthesis research recently and has achieved many encouraging results. However, the text can only determine the basic content of the gener...
ver más
|
|
|
|
|
|
|
|
|
Ezekiel Mensah Martey, Hang Lei, Xiaoyu Li and Obed Appiah
Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an app...
ver más
|
|
|
|
|
|
|
|
|
DaYou Jiang and Jongweon Kim
This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of...
ver más
|
|
|
|