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MP
2007
89views more  MP 2007»
14 years 9 months ago
Sums of random symmetric matrices and quadratic optimization under orthogonality constraints
Let Bi be deterministic real symmetric m × m matrices, and ξi be independent random scalars with zero mean and “of order of one” (e.g., ξi ∼ N(0, 1)). We are interested to...
Arkadi Nemirovski
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
15 years 3 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
72
Voted
ALT
2006
Springer
15 years 6 months ago
Teaching Memoryless Randomized Learners Without Feedback
The present paper mainly studies the expected teaching time of memoryless randomized learners without feedback. First, a characterization of optimal randomized learners is provided...
Frank J. Balbach, Thomas Zeugmann
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 4 months ago
Automatic Relocalisation for a Single-Camera Simultaneous Localisation and Mapping System
Abstract— We describe a fast method to relocalise a monocular visual SLAM (Simultaneous Localisation and Mapping) system after tracking failure. The monocular SLAM system stores ...
Brian Williams, Paul Smith, Ian D. Reid