Probabilistic Visual Learning for Object Representation (1996)

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by Baback Moghaddam , Alex Pentland
Citations:560 - 14 self

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210 Probabilistic Visual Learning for Object Detection – Baback Moghaddam, Alex Pentland - 1995
595 Detecting faces in images: A survey – Ming-hsuan Yang, David J. Kriegman, Narendra Ahuja - 2002
47 Hierarchical Discriminant Analysis for Image Retrieval – Daniel L. Swets, Juyang Weng - 1999
15 PERCEPTUAL INTERFACES – Matthew Turk, Mathias K├Âlsch - 2004
85 Face Recognition using View-Based and Modular Eigenspaces – Baback Moghaddam, Alex Pentland - 1994
39 Principal Manifolds and Bayesian Subspaces for Visual Recognition – Baback Moghaddam, Baback Moghaddam - 1999
54 Active Face Tracking and Pose Estimation in an Interactive Room – Trevor Darrell, Baback Moghaddam, Alex P. Pentland - 1996
Modeling Human Motion Using Manifold Learning and Factorized Generative Models – Chan-su Lee - 2007
26 Face Recognition in Subspaces – Gregory Shakhnarovich, Baback Moghaddam - 2004
82 Computer Vision: Algorithms and Applications – Richard Szeliski - 2010
Informative Features in Vision and Learning – A. Rudra, Davi Geiger, Archisman Rudra, Archisman Rudra - 2002
29 Vectorizing Face Images by Interleaving Shape and Texture Computations – David Beymer - 1995
637 View-Based and Modular Eigenspaces for Face Recognition – Alex Pentland, Baback Moghaddam, Thad Starner - 1994
View-based Recognition using SHOSLIF – Daniel L. Swets, John (Juyang) Weng
17 A Survey on Face Detection Methods – Ming-hsuan Yang, Narendra Ahuja, David Kriegman - 1999
3 Learning Probabilistic Deformation Models from Image Sequences – Charles Kervrann - 1998
58 An Algorithmic Overview of Surface Registration . . . – Michel A. Audette, Frank P. Ferrie, Terry M. Peters - 2000
1 Learning-Based Vision and Its Application to Autonomous Indoor Navigation – Shaoyun Chen, Shaoyun Chen - 1998
2 The Role of Manifold Learning in Human Motion Analysis – Ahmed Elgammal, Chan Su Lee