most citedSegmentation and Classification of Skin Lesions for Disease Diagnosis

231 citations · 252 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2017★ 8 cited

Semi-supervised Text Categorization Using Recursive K-means Clustering

Harsha S. Gowda, Mahamad Suhil, D. S. Guru +1

In this paper, we present a semi-supervised learning algorithm for classification of text documents. A method of labeling unlabeled text documents is presented. The presented metho…

cs.IR2017★ 3 cited

Cluster Based Symbolic Representation for Skewed Text Categorization

Lavanya Narayana Raju, Mahamad Suhil, D S Guru +1

In this work, a problem associated with imbalanced text corpora is addressed. A method of converting an imbalanced text corpus into a balanced one is presented. The presented metho…

cs.IR2016

Term-Class-Max-Support (TCMS): A Simple Text Document Categorization Approach Using Term-Class Relevance Measure

D S Guru, Mahamad Suhil

In this paper, a simple text categorization method using term-class relevance measures is proposed. Initially, text documents are processed to extract significant terms present in…

cs.CV2016★ 231 cited

Segmentation and Classification of Skin Lesions for Disease Diagnosis

Sumithra R, Mahamad Suhil, D. S. Guru

In this paper, a novel approach for automatic segmentation and classification of skin lesions is proposed. Initially, skin images are filtered to remove unwanted hairs and noise an…

cs.CV2016★ 10 cited

A Novel Approach for Shot Boundary Detection in Videos

D. S. Guru, Mahamad Suhil, P. Lolika

This paper presents a novel approach for video shot boundary detection. The proposed approach is based on split and merge concept. A fisher linear discriminant criterion is used to…