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» An Application of Boosting to Graph Classification
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ERSA
2010
182views Hardware» more  ERSA 2010»
13 years 5 months ago
Integrating Application Specification and Performance Prediction for Strategic Design-Space Exploration
Abstract--Modeling environments and performance prediction boost application productivity, but often lack integration into an efficient and comprehensive approach to strategic desi...
Brian Holland, Alan D. George, Herman Lam
ICIP
2007
IEEE
14 years 1 months ago
Classification by Cheeger Constant Regularization
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Hsun-Hsien Chang, José M. F. Moura
CHI
2010
ACM
14 years 2 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
CVPR
2006
IEEE
14 years 9 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
ECCV
2010
Springer
13 years 9 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...