Benefiting from Structured Resources to Present a Computationally Efficient Word Embedding Method

F. Jafarinejad

Volume 10, Issue 4 , November 2022, , Pages 505-514

  In recent years, new word embedding methods have clearly improved the accuracy of NLP tasks. A review of the progress of these methods shows that the complexity of these models and the number of their training parameters grows increasingly. Therefore, there is a need for methodological innovation for ...  Read More

Relevance Feedback-based Image Retrieval using Particle Swarm Optimization

F. Jafarinejad; R. Farzbood

Volume 9, Issue 2 , April 2021, , Pages 245-257

  Image retrieval is a basic task in many content-based image systems. Achieving high precision, while maintaining computation time is very important in relevance feedback-based image retrieval systems. This paper establishes an analogy between this and the task of image classification. Therefore, in the ...  Read More