Narendra Ahuja

If you made any changes in Pure these will be visible here soon.
Filter
Chapter

Search results

  • 2016

    Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery

    Shu, X., Porikli, F. & Ahuja, N., Jul 6 2016, Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, p. 12.1-12.14

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2005

    Hypervision

    Ahuja, N. & Sull, S., Jan 1 2005, HyperReality: Paradigm for the Third Millenium. Taylor and Francis, p. 43-53 11 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2004

    Shape and view independent reflectance map from multiple views

    Yu, T., Xu, N. & Ahuja, N., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (eds.). Springer, p. 602-615 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3024).

    Research output: Chapter in Book/Report/Conference proceedingChapter