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ACCV
2009
Springer
15 years 3 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
AIPS
2006
15 years 1 months ago
Resource Contention Metrics for Oversubscribed Scheduling Problems
We investigate a task insertion heuristic for oversubscribed scheduling problems, max-availability, that uses a simple estimate of resource contention to assign tasks to intervals...
Laurence A. Kramer, Stephen F. Smith
TKDE
2008
148views more  TKDE 2008»
14 years 11 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
JSSPP
2005
Springer
15 years 5 months ago
Unfairness Metrics for Space-Sharing Parallel Job Schedulers
Sociology, computer networking and operations research provide evidence of the importance of fairness in queuing disciplines. Currently, there is no accepted model for characteriz...
Gerald Sabin, P. Sadayappan
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 11 days ago
Applying syntactic similarity algorithms for enterprise information management
: ? Applying Syntactic Similarity Algorithms for Enterprise Information Management Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair Veitch HP Laborato...
Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey...