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CVPR
2004
IEEE
16 years 8 months ago
Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm
Multibody factorization algorithms [2, 1, 16] give an elegant and simple solution to the problem of structure from motion even for scenes containing multiple independent motions. ...
Amit Gruber, Yair Weiss
PODS
2006
ACM
122views Database» more  PODS 2006»
16 years 6 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
ICRA
2008
IEEE
125views Robotics» more  ICRA 2008»
16 years 18 days ago
An approximation algorithm for the least overlapping p-Frame problem with non-partial coverage for networked robotic cameras
Abstract— We report our algorithmic development of the pframe problem that addresses the need of coordinating a set of p networked robotic pan-tilt-zoom cameras for n, (n > p)...
Yiliang Xu, Dezhen Song, Jingang Yi, A. Frank van ...
CVPR
2010
IEEE
16 years 2 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 22 days ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen