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CIKM
2008
Springer
13 years 10 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 25 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICPR
2010
IEEE
14 years 1 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
PPOPP
2005
ACM
14 years 1 months ago
Using multiple energy gears in MPI programs on a power-scalable cluster
Recently, system architects have built low-power, high-performance clusters, such as Green Destiny. The idea behind these clusters is to improve the energy efficiency of nodes. H...
Vincent W. Freeh, David K. Lowenthal
RTCSA
2007
IEEE
14 years 2 months ago
A Real-Time Database Testbed and Performance Evaluation
A lot of real-time database (RTDB) research has been done to process transactions in a timely fashion using fresh data reflecting the current real world status. However, most exi...
Kyoung-Don Kang, Phillip H. Sin, Jisu Oh