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TNN
2008
152views more  TNN 2008»
15 years 6 months ago
Distributed Parallel Support Vector Machines in Strongly Connected Networks
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Yumao Lu, Vwani P. Roychowdhury, L. Vandenberghe
SIGOPS
2010
186views more  SIGOPS 2010»
15 years 5 months ago
Are clouds ready for large distributed applications?
Cloud computing carries the promise of providing powerful ls and abstractions that could transform the way IT services are delivered today. In order to establish the readiness of ...
Kunwadee Sripanidkulchai, Sambit Sahu, Yaoping Rua...
EJWCN
2010
122views more  EJWCN 2010»
15 years 1 months ago
Using Model Checking for Analyzing Distributed Power Control Problems
Model checking (MC) is a formal verification technique which has known and still knows a resounding success in the computer science community. Realizing that the distributed power...
Thomas Brihaye, Marc Jungers, Samson Lasaulce, Nic...
SOSP
2009
ACM
16 years 3 months ago
Distributed aggregation for data-parallel computing: interfaces and implementations
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Yuan Yu, Pradeep Kumar Gunda, Michael Isard
ICASSP
2008
IEEE
16 years 1 months ago
Distributed multi-dimensional hidden Markov models for image and trajectory-based video classifications
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar