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» Highly Discriminative Invariant FEatures for Image Matching
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GBRPR
2007
Springer
14 years 3 months ago
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization
In this paper, we propose a highly robust point-matching method (Graph Transformation Matching - GTM) relying on finding the consensus graph emerging from putative matches. Such m...
Wendy Aguilar, M. Elena Martínez-Pér...
PR
2008
206views more  PR 2008»
13 years 9 months ago
A study of graph spectra for comparing graphs and trees
The spectrum of a graph has been widely used in graph theory to characterise the properties of a graph and extract information from its structure. It has also been employed as a g...
Richard C. Wilson, Ping Zhu
MICRO
2009
IEEE
326views Hardware» more  MICRO 2009»
14 years 3 months ago
DDT: design and evaluation of a dynamic program analysis for optimizing data structure usage
Data structures define how values being computed are stored and accessed within programs. By recognizing what data structures are being used in an application, tools can make app...
Changhee Jung, Nathan Clark
CVPR
2012
IEEE
11 years 11 months ago
Action bank: A high-level representation of activity in video
Activity recognition in video is dominated by low- and mid-level features, and while demonstrably capable, by nature, these features carry little semantic meaning. Inspired by the...
Sreemanananth Sadanand, Jason J. Corso
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 9 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...