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» Feature Detection with Automatic Scale Selection
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ECCV
2006
Springer
15 years 11 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó
96
Voted
BMCBI
2004
181views more  BMCBI 2004»
14 years 9 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
MM
2006
ACM
127views Multimedia» more  MM 2006»
15 years 3 months ago
Automatic scaling and cropping of videos for devices with limited screen resolution
A large number of previously recorded videos cannot be directly visualized on mobile devices like PDAs or mobile phones due to an inappropriate screen resolution of their displays...
Stephan Kopf, Fleming Lampi, Thomas King, Wolfgang...
ETS
2011
IEEE
230views Hardware» more  ETS 2011»
13 years 9 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...

Publication
307views
15 years 3 months ago
Scale and Rotation Invariant Detection of Singular Patterns in Vector Flow Fields
We present a method for detecting and describing features in vector flow fields. Our method models flow fields locally using a linear combination of complex monomials. These monomi...
Wei Liu, Eraldo Ribeiro