most citedSemi-supervised Text Categorization Using Recursive K-means Clustering

8 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20198 cited

Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure

Chandra Sekhar, Prerana Mukherjee, D. S. Guru +1

Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics. In this manuscript, owing to large in…

cs.CV20195 cited

OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification

Chandra Sekhar, Prerana Mukherjee, Devanur S Guru +1

Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics. Owing to the large intra-individual variability, there is a…

cs.CV20176 cited

Color and Gradient Features for Text Segmentation from Video Frames

P. Shivakumara, D. S. Guru, H. T. Basavaraju

Text segmentation in a video is drawing attention of researchers in the field of image processing, pattern recognition and document image analysis because it helps in annotating an…

cs.LG20178 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.IR20173 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…