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» Measuring the Complexity of Classification Problems
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TKDE
2011
479views more  TKDE 2011»
13 years 3 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
SOFSEM
2000
Springer
13 years 11 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
HPDC
2007
IEEE
14 years 2 months ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely
SAS
2001
Springer
14 years 19 days ago
Solving Regular Tree Grammar Based Constraints
This paper describes the precise speci cation, design, analysis, implementation, and measurements of an e cient algorithm for solving regular tree grammar based constraints. The p...
Yanhong A. Liu, Ning Li, Scott D. Stoller
CORR
2012
Springer
222views Education» more  CORR 2012»
12 years 3 months ago
A limit process for partial match queries in random quadtrees
We consider the problem of recovering items matching a partially specified pattern in multidimensional trees (quad trees and k-d trees). We assume the classical model where the d...
Nicolas Broutin, Ralph Neininger, Henning Sulzbach