'Unsupervised case' presentation slideshows

Andrew Blake, Microsoft Research and Bill Freeman, MIT, ICCV 2003 and Andrew W. Moore, Carnegie Mellon University

Introduction to Expectation Maximization Assembled and extended by Longin Jan Latecki Temple University, latecki@temple.edu based on slides by. Andrew Blake, Microsoft Research and Bill Freeman, MIT, ICCV 2003 and Andrew W. Moore, Carnegie Mellon University.

1.04k views • 75 slides

1 Jun Wang, 2 Sanjiv Kumar, and 1 Shih-Fu Chang 1 Columbia University, New York, USA 2 Google Research, New York, USA

1 Jun Wang, 2 Sanjiv Kumar, and 1 Shih-Fu Chang 1 Columbia University, New York, USA 2 Google Research, New York, USA. Sequential Projection Learning for Hashing with Compact Codes. Nearest Neighbor Search.

462 views • 21 slides

Unsupervised object discovery via self- organisation

281 views • 21 slides