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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
IPPS
2000
IEEE
15 years 8 months ago
Combining Fusion Optimizations and Piecewise Execution of Nested Data-Parallel Programs
Abstract. Nested data-parallel programs often have large memory requirements due to their high degree of parallelism. Piecewise execution is an implementation technique used to min...
W. Pfannenstiel
91
Voted
CORR
2010
Springer
75views Education» more  CORR 2010»
15 years 3 months ago
An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes
Sigma-Delta modulation is a popular method for analog-to-digital conversion of bandlimited signals that employs coarse quantization coupled with oversampling. The standard mathema...
Percy Deift, C. Sinan Güntürk, Felix Kra...
ECCV
2002
Springer
16 years 5 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger
SPIEVIP
2010
15 years 6 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon