morphs. Decision trees are utilized for classification and detection of malware variants based on the rate of opcode …

with multiclass classifier, the authors propose a supervised query image classification and retrieval model, which filters … content, and this successful classification of image significantly enhances the performance and searching time of retrieval …

In this article, probabilistic classification model is designed for the fashion-related images collected from social … into consideration to deal with heterogeneous nature of the given images. The second classification is done with the help … features are calculated, then joint probability is used for the classification. Class label with maximum joint probability is …

digital pathology, with growing applications related to nuclei detection, segmentation, and classification. In cancer research …, segmentation, feature computation, and classification techniques used in histopathology imagery, specifically in hematoxylin …

network is trained for classification. The proposed method has demonstrated excellent recognition results in an indoor …

This paper attempts to build a classification model according to the research products created by those institutes and … with those components (principal component analysis). Moreover, the validity of the a priori classification was tested and …