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» On Feature Selection through Clustering
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CVPR
2006
IEEE
14 years 9 months ago
Local Features, All Grown Up
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Andrea Vedaldi, Stefano Soatto
SAINT
2006
IEEE
14 years 1 months ago
Filtering Features for a Composite Event Definition Language
This research has enhanced a distributed, rule-based application integration environment with a composite event definition language (CEDL) and detection system. CEDL builds on exi...
Susan Darling Urban, Ingrid Biswas, Suzanne W. Die...
CLUSTER
2000
IEEE
14 years 5 days ago
Design and Performance of Maestro Cluster Network
Most clusters so far have used WAN or LAN-based network products for communication due to their market availability. However, they do not always match communication patterns in cl...
Shinichi Yamagiwa, Munehiro Fukuda, Koichi Wada
ISBI
2009
IEEE
14 years 2 months ago
Design and Study of Flux-Based Features for 3D Vascular Tracking
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through c...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
15 years 22 days ago
Spectral clustering of linear subspaces for motion segmentation
This paper studies automatic segmentation of multiple motions from tracked feature points through spectral embedding and clustering of linear subspaces. We show that the dimensi...
Fabien Lauer, Christoph Schn¨orr