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» Improving Data Quality: Consistency and Accuracy
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IDA
2002
Springer
13 years 7 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CGF
2010
177views more  CGF 2010»
13 years 5 months ago
Condenser-Based Instant Reflectometry
We present a technique for rapid capture of high quality bidirectional reflection distribution functions(BRDFs) of surface points. Our method represents the BRDF at each point by ...
Yanxiang Lan, Yue Dong, Jiaping Wang, Xin Tong, Ba...
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
13 years 11 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
AAAI
2011
12 years 7 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
TVCG
2011
126views more  TVCG 2011»
13 years 2 months ago
A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes
—This paper presents a study of gradient estimation methods for rendering unstructured-mesh volume data. Gradient estimation is necessary for rendering shaded isosurfaces and spe...
Carlos D. Correa, Robert Hero, Kwan-Liu Ma