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» Using Problems to Learn Service-Oriented Computing
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ICANN
2005
Springer
15 years 10 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
163
Voted
SIAMCOMP
2008
107views more  SIAMCOMP 2008»
15 years 4 months ago
Holographic Algorithms
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...
Leslie G. Valiant
SCALESPACE
2009
Springer
15 years 11 months ago
Momentum Based Optimization Methods for Level Set Segmentation
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
Gunnar Läthén, Thord Andersson, Reiner...
ACMDIS
2000
ACM
15 years 9 months ago
On the Contributions of Different Empirical Data in Usability Testing
Many sources of empirical data can be used to evaluate an interface (e.g., time to learn, time to perform benchmark tasks, number of errors on benchmark tasks, answers on question...
Maria Ebling, Bonnie E. John
CVPR
2008
IEEE
16 years 6 months ago
Correspondence-free multi-camera activity analysis and scene modeling
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. We assume that the topology of camera views is unknown and quite a...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson