World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
48581
World Ranking
4933
National Ranking
2292

Overview

Partha Niyogi is a researcher affiliated with the University of Chicago in the United States. Their academic profile centers on contributions and collaborations within their institution.

While specific recent papers, co-authors, and publication venues are not listed, the affiliation with the University of Chicago situates the researcher within a prominent academic environment known for interdisciplinary work and research excellence.

There is no publicly available information on specific main fields or subfields of study, nor are there details on main topics of work, which makes it difficult to outline particular areas of focus or specialized domains.

The absence of listed published books also limits insight into extended scholarly contributions beyond journal articles or conference papers.

Likewise, no awards or recognitions are documented, and there are no recent citations or named publications to reflect the impact or focus of the researcher's scientific work at this time.

Best Publications

  • Laplacian Eigenmaps for dimensionality reduction and data representation

    Mikhail Belkin;Partha Niyogi

  • Locality Preserving Projections

    Xiaofei He;Partha Niyogi

  • Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

    Mikhail Belkin;Partha Niyogi

  • Face recognition using Laplacianfaces

    Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi

  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

    Mikhail Belkin;Partha Niyogi;Vikas Sindhwani

  • Laplacian Score for Feature Selection

    Xiaofei He;Deng Cai;Partha Niyogi

  • Comparing support vector machines with Gaussian kernels to radial basis function classifiers

    B. Scholkopf;Kah-Kay Sung;C.J.C. Burges;F. Girosi

  • Semi-Supervised Learning on Riemannian Manifolds

    Mikhail Belkin;Partha Niyogi

  • Towards a theoretical foundation for Laplacian-based manifold methods

    Mikhail Belkin;Partha Niyogi

  • Regularization and Semi-supervised Learning on Large Graphs

    Mikhail Belkin;Irina Matveeva;Partha Niyogi

  • Finding the Homology of Submanifolds with High Confidence from Random Samples

    Partha Niyogi;Stephen Smale;Shmuel Weinberger

  • Evolution of universal grammar.

    Martin A. Nowak;Natalia L. Komarova;Natalia L. Komarova;Partha Niyogi

  • Beyond the point cloud: from transductive to semi-supervised learning

    Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

  • Computational and evolutionary aspects of language.

    Martin A. Nowak;Natalia L. Komarova;Natalia L. Komarova;Partha Niyogi

  • A Co-Regularization Approach to Semi-supervised Learning with Multiple Views

    Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

  • Tensor Subspace Analysis

    Xiaofei He;Deng Cai;Partha Niyogi

  • Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

    D. K. Oller;P. Niyogi;S. Gray;J. A. Richards

  • Incorporating prior information in machine learning by creating virtual examples

    P. Niyogi;F. Girosi;T. Poggio

  • The Computational Nature of Language Learning and Evolution

    Partha Niyogi

  • On Manifold Regularization.

    Misha Belkin;Partha Niyogi;Vikas Sindhwani

Frequent Co-Authors

Mikhail Belkin
Mikhail Belkin University of California, San Diego
Aren Jansen
Aren Jansen Google (United States)
Vikas Sindhwani
Vikas Sindhwani Google (United States)
Xiaofei He
Xiaofei He Zhejiang University
Sayan Mukherjee
Sayan Mukherjee Duke University
Martin A. Nowak
Martin A. Nowak Harvard University
Guillermo Sapiro
Guillermo Sapiro Princeton University
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley

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