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» A New Approach to Strongly Polynomial Linear Programming
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JMLR
2008
150views more  JMLR 2008»
15 years 1 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
ECCV
2006
Springer
16 years 3 months ago
Self-calibration of a General Radially Symmetric Distortion Model
Abstract. We present a new approach for self-calibrating the distortion function and the distortion center of cameras with general radially symmetric distortion. In contrast to mos...
Jean-Philippe Tardif, Peter F. Sturm, Sébas...
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
15 years 8 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of efï...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
ICML
2000
IEEE
16 years 2 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
ISCAS
1994
IEEE
131views Hardware» more  ISCAS 1994»
15 years 5 months ago
An Efficient Design Method for Optimal Weighted Median Filtering
Earlier research has shown that the problem of optimal weighted median filtering with structural constraints can be formulated as a nonconvex nonlinear programming problem in gene...
Ruikang Yang, Moncef Gabbouj, Yrjö Neuvo