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ICASSP
2010
IEEE
13 years 11 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ACCV
2010
Springer
13 years 6 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
CVPR
2008
IEEE
15 years 29 days ago
Graph-shifts: Natural image labeling by dynamic hierarchical computing
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
Jason J. Corso, Alan L. Yuille, Zhuowen Tu
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
13 years 11 months ago
Hierarchical routing over dynamic wireless networks
Dynamic networks are those where the topology changes over time and therefore efficient routes need to be maintained by frequent updates. Such updates could be costly in terms of ...
Dominique Tschopp, Suhas N. Diggavi, Matthias Gros...
EUROPAR
2003
Springer
14 years 4 months ago
Dynamic Load Balancing for I/O- and Memory-Intensive Workload in clusters Using a Feedback Control Mechanism
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson