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138
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NIPS
2004
15 years 4 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
103
Voted
AAAI
2000
15 years 4 months ago
Gridworlds as Testbeds for Planning with Incomplete Information
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Craig A. Tovey, Sven Koenig
122
Voted
WSC
1997
15 years 4 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick
91
Voted
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 3 months ago
On hopeful monsters, neutral networks and junk code in evolving L-systems
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...
Stefan Bornhofen, Claude Lattaud
110
Voted
DAGM
2010
Springer
15 years 2 months ago
Learning of Optimal Illumination for Material Classification
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
Markus Jehle, Christoph Sommer, Bernd Jähne