In this paper, we propose an approach to image content recognition that exploits the benefits of different image representations to associate meaning with ...

Abstract. In this paper, we propose an approach to image content recognition that exploits the benefits of different image representations to associate mean ...

May 24, 2023 · Combining SVM and graph matching in a Bayesian multiple classifier system for image content recognition ; Series: Lecture Notes in Computer ...

Combining SVM and graph matching in a Bayesian multiple classifier system for image content recognition ... matching and multiple classifier system.

Recognition of natural scene images based on graphs · An interpretable graph-based image classifier · Combining SVM and Graph Matching in a Bayesian Multiple ...

Jan 14, 2009 · I want to detect the presence of a species of insect recording the sounds with a microphone. I have previously recorded the sound of the insect ...

Feb 16, 2015 · It depends on the quality of data , the size of input/hidden/output and softmax ( for multi-class classification) , and the general architecture ...

Apr 4, 2022 · Last week we trained an SVM classifier and a transformer based model on the same dataset and got the same accuracy scores. SVM takes around ...

Abstract— In a content based image classification system, target images are sorted by feature similarities with respect to the query (CBIR).