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NIPS
2008
15 years 8 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
CGF
2010
82views more  CGF 2010»
15 years 6 months ago
Poisson-Based Weight Reduction of Animated Meshes
While animation using barycentric coordinates or other automatic weight assignment methods has become a popular method for shape deformation, the global nature of the weights limi...
Eric Landreneau, Scott Schaefer
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 6 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
ACL
1989
15 years 7 months ago
Unification-Based Semantic Interpretation
This paper shows that a first-order unificationbased semantic interpretation for various coordinate constructs is possible without an explicit use of lambda expressions if we slig...
Robert C. Moore
ICML
2006
IEEE
16 years 7 months ago
Fast time series classification using numerosity reduction
Many algorithms have been proposed for the problem of time series classification. However, it is clear that one-nearest-neighbor with Dynamic Time Warping (DTW) distance is except...
Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton...