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» Crossing Numbers and Parameterized Complexity
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JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
GMP
2006
IEEE
118views Solid Modeling» more  GMP 2006»
14 years 1 months ago
Computing a Family of Skeletons of Volumetric Models for Shape Description
Skeletons are important shape descriptors in object representation and recognition. Typically, skeletons of volumetric models are computed using iterative thinning. However, tradi...
Tao Ju, Matthew L. Baker, Wah Chiu
VLDB
1995
ACM
129views Database» more  VLDB 1995»
13 years 11 months ago
A Cost Model for Clustered Object-Oriented Databases
Query processing is one of the most, critical issues in Object-Oriented DBMSs. Extensible opt,imizers with efficient, search strategies require a cost model to select the most eff...
Georges Gardarin, Jean-Robert Gruser, Zhao-Hui Tan...
COCOA
2008
Springer
13 years 9 months ago
Fixed-Parameter Tractability of Anonymizing Data by Suppressing Entries
A popular model for protecting privacy when person-specific data is released is k-anonymity. A dataset is k-anonymous if each record is identical to at least (k - 1) other records ...
Rhonda Chaytor, Patricia A. Evans, Todd Wareham
GD
2009
Springer
14 years 3 days ago
Semi-bipartite Graph Visualization for Gene Ontology Networks
Abstract. In this paper we propose three layout algorithms for semibipartite graphs—bipartite graphs with edges in one partition—that emerge from microarray experiment analysis...
Kai Xu 0003, Rohan Williams, Seok-Hee Hong, Qing L...