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99
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ICPR
2008
IEEE
16 years 2 months ago
Training sequential on-line boosting classifier for visual tracking
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
Helmut Grabner, Horst Bischof, Jan Sochman, Jiri M...
106
Voted
ISCC
2008
IEEE
130views Communications» more  ISCC 2008»
15 years 7 months ago
A graph theory based scheduling algorithm For MIMO-CDMA systems using zero forcing beamforming
We propose efficient scheduling algorithms for downlink MIMO-CDMA systems using zero forcing beamforming to achieve high system throughput with low computational complexity. Base...
Elmahdi Driouch, Wessam Ajib
124
Voted
STACS
2005
Springer
15 years 6 months ago
Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics
Abstract. In recent years, probabilistic analyses of algorithms have received increasing attention. Despite results on the average-case complexity and smoothed complexity of exact ...
Carsten Witt
COMPGEOM
2010
ACM
15 years 5 months ago
Orthogonal range reporting: query lower bounds, optimal structures in 3-d, and higher-dimensional improvements
Orthogonal range reporting is the problem of storing a set of n points in d-dimensional space, such that the k points in an axis-orthogonal query box can be reported efficiently. ...
Peyman Afshani, Lars Arge, Kasper Dalgaard Larsen
NIPS
2007
15 years 2 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet