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IPPS
2003
IEEE
15 years 6 months ago
Natural Block Data Decomposition for Heterogeneous Clusters
We propose general purposes natural heuristics for static block and block-cyclic heterogeneous data decomposition over processes of parallel program mapped into multidimensional g...
Egor Dovolnov, Alexey Kalinov, Sergey Klimov
139
Voted
AIIA
2007
Springer
15 years 6 months ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
115
Voted
ICCV
2005
IEEE
16 years 2 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
109
Voted
ICIP
2007
IEEE
16 years 2 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
111
Voted
ICML
2007
IEEE
16 years 1 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker