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ICCV
2011
IEEE
13 years 11 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
VLSI
2010
Springer
14 years 6 months ago
SESAM extension for fast MPSoC architectural exploration and dynamic streaming applications
Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. To overcome these...
Nicolas Ventroux, Tanguy Sassolas, Raphael David, ...
AAAI
2007
15 years 2 months ago
Nonmyopic Informative Path Planning in Spatio-Temporal Models
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...
IJCV
2010
187views more  IJCV 2010»
14 years 10 months ago
Generalized Thin-Plate Spline Warps
The Thin-Plate Spline warp has been shown to be a very effective parameterized model of the optic flow field between images of various types of deformable surfaces, such as a p...
Adrien Bartoli, Mathieu Perriollat, Sylvie Chambon
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson