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FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
16 years 1 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
CVPR
2008
IEEE
16 years 9 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah
ICCV
2007
IEEE
16 years 9 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
COCOON
2010
Springer
16 years 2 days ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
CLUSTER
2004
IEEE
15 years 11 months ago
Cluster computing environment supporting single system image
Single system image(SSI) systems have been the mainstay of high-performance computing for many years. SSI requires the integration and aggregation of all types of resources in a c...
Min Choi, DaeWoo Lee, Seung Ryoul Maeng