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ACL
2009
15 years 3 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»
15 years 4 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
16 years 23 days 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 8 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 7 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