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» Robust Algorithms for Object Localization
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PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 2 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
WDAG
1995
Springer
102views Algorithms» more  WDAG 1995»
15 years 6 months ago
Larchant-RDOSS: a Distributed Shared Persistent Memory and its Garbage Collector
Larchant-RDOSS is a distributed shared memory that persists on reliable storage across process lifetimes. Memory management is automatic: including consistent caching of data and ...
Marc Shapiro, Paulo Ferreira
133
Voted
CSDA
2008
128views more  CSDA 2008»
15 years 2 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
120
Voted
JCP
2008
142views more  JCP 2008»
15 years 2 months ago
Design and Verification of Loosely Coupled Inter-Organizational Workflows with Multi-Level Security
Inter-Organizational Workflows (IOWF) become important as they provide solution for data sharing, heterogeneity in resources and work coordination at global level. However, a secur...
Boleslaw Mikolajczak, Nirmal Gami
137
Voted
ESANN
2006
15 years 4 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...