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Vijendra Singh

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DB1
  • cs.LG1
ORCID 0000-0001-5438-2188

identity via Semantic Scholar / OpenAlex

most citedRobust Outlier Detection Technique in Data Mining: A Univariate Approach

11 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2016

Recognition of Text Image Using Multilayer Perceptron

Singh Vijendra, Nisha Vasudeva, Hem Jyotsana Parashar

The biggest challenge in the field of image processing is to recognize documents both in printed and handwritten format. Optical Character Recognition OCR is a type of document ima…

cs.DB2016

Density Based Algorithm With Automatic Parameters Generation

Singh Vijendra, Priyanka Trikha

The traditional algorithms do not meet the latest multiple requirements simultaneously for objects. Density-based method is one of the methodologies, which can detect arbitrary sha…

cs.LG2016

A New Method for Classification of Datasets for Data Mining

Singh Vijendra, Hemjyotsana Parashar, Nisha Vasudeva

Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely use…

cs.CV2014★ 11 cited

Robust Outlier Detection Technique in Data Mining: A Univariate Approach

Singh Vijendra, Pathak Shivani

Outliers are the points which are different from or inconsistent with the rest of the data. They can be novel, new, abnormal, unusual or noisy information. Outliers are sometimes m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.