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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
EUROSYS
2010
ACM
14 years 5 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
CIBCB
2009
IEEE
13 years 5 months ago
Shape modeling and clustering of white matter fiber tracts using fourier descriptors
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang
CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 7 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
WISE
2002
Springer
14 years 25 days ago
Cluster-Based Delta Compression of a Collection of Files
Delta compression techniques are commonly used to succinctly represent an updated version of a file with respect to an earlier one. In this paper, we study the use of delta compr...
Zan Ouyang, Nasir D. Memon, Torsten Suel, Dimitre ...