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HIS
2007
15 years 8 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ATAL
2005
Springer
16 years 8 days ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...
HICSS
2006
IEEE
117views Biometrics» more  HICSS 2006»
16 years 23 days ago
Stakeholders, Contradictions and Salience: An Empirical Study of a Norwegian G2G Effort
Previous studies indicate that the expected effects of e-Government are slower to realize than initially expected. Several authors argue that e-Government involves particularly co...
Leif Skiftenes Flak, Stig Nordheim
TOG
2010
156views more  TOG 2010»
15 years 1 months ago
Style-content separation by anisotropic part scales
We perform co-analysis of a set of man-made 3D objects to allow the creation of novel instances derived from the set. We analyze the objects at the part level and treat the anisot...
Kai Xu 0004, Honghua Li, Hao Zhang 0002, Daniel Co...
CVPR
2011
IEEE
14 years 10 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...