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ACL
2009
14 years 9 months ago
A Metric-based Framework for Automatic Taxonomy Induction
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...
Hui Yang, Jamie Callan
CORR
2010
Springer
179views Education» more  CORR 2010»
14 years 10 months ago
An Economic-based Resource Management and Scheduling for Grid Computing Applications
Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an...
G. Murugesan, C. Chellappan
CCGRID
2009
IEEE
15 years 6 months ago
Improving Parallel Write by Node-Level Request Scheduling
In a cluster of multiple processors or cpu-cores, many processes may run on each compute node. Each process tends to issue contiguous I/O requests for snapshot, checkpointing or s...
Kazuki Ohta, Hiroya Matsuba, Yutaka Ishikawa
CVDB
2005
ACM
15 years 1 months ago
Optimizing progressive query-by-example over pre-clustered large image databases
The typical mode for querying in an image content-based information system is query-by-example, which allows the user to provide an image as a query and to search for similar imag...
Anicet Kouomou Choupo, Laure Berti-Equille, Annie ...
PDPTA
2007
15 years 1 months ago
Python-based Distributed Programming with Trickle
Abstract Trickle is a an extension to the Python programming language that provides explicit but simple mechanisms to write distributed scripts and programs. Trickle links together...
Gregory Benson, Alexey Fedosov