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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
JMLR
2012
13 years 7 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
NIPS
2008
15 years 5 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
AIEDAM
1998
87views more  AIEDAM 1998»
15 years 4 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
BIRTHDAY
2004
Springer
15 years 8 months ago
Basic LMS Architecture for Learner-Centric LearnFlows or How Reusable Learning Objects Fit into Co-Constructivist Learning Proce
The discussions about learning management systems and reusable learning objects primarily focus on technical standardization issues. Standards such as SCORM or LTSC-LOM will yield...
Wolfgang F. Finke