Narendra Ahuja

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2023
Remove to improve? Understanding CNN by pruning
Abdiyeva, K., Lukac, M. & Ahuja, N., Jan 1 2023, Explainable Deep Learning AI: Methods and Challenges. Elsevier, p. 147-171 25 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter
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 proceeding › Chapter
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 proceeding › Chapter
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 proceeding › Chapter

Open Access

Research output