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» Contention-Sensitive Data Structures and Algorithms
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KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 9 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
TACAS
2007
Springer
74views Algorithms» more  TACAS 2007»
14 years 3 months ago
Shape Analysis by Graph Decomposition
Abstract. Programs commonly maintain multiple linked data structures. Correlations between multiple data structures may often be nonexistent or irrelevant to verifying that the pro...
Roman Manevich, Josh Berdine, Byron Cook, G. Ramal...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 9 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
ECCV
2008
Springer
14 years 11 months ago
Robust Multiple Structures Estimation with J-Linkage
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
Roberto Toldo, Andrea Fusiello
ICIP
2008
IEEE
14 years 11 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....