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NIPS
2000
15 years 6 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
APVIS
2009
15 years 6 months ago
Extending the spring-electrical model to overcome warping effects
The spring-electrical model based force directed algorithm is widely used for drawing undirected graphs, and sophisticated implementations can be very efficient for visualizing la...
Yifan Hu, Yehuda Koren
IJCV
2008
102views more  IJCV 2008»
15 years 5 months ago
Modeling the World from Internet Photo Collections
Abstract There are billions of photographs on the Internet, comprising the largest and most diverse photo collection ever assembled. How can computer vision researchers exploit thi...
Noah Snavely, Steven M. Seitz, Richard Szeliski
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
15 years 3 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
PAMI
2011
14 years 12 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams