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DAGSTUHL
2006
15 years 1 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
DEXAW
2005
IEEE
144views Database» more  DEXAW 2005»
15 years 5 months ago
A Partial Ontology for Forest Inventory and Mensuration
Keywords, restricted vocabularies (RVs), thesauri, and catalogues are introduced leading up to discussion of the need for full ontologies to describe the full logical and relation...
Keith Rennolls
ENTCS
2010
111views more  ENTCS 2010»
14 years 9 months ago
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. ...
Jeremy Singer, Gavin Brown, Mikel Luján, Ad...
PAMI
2012
13 years 2 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
CVPR
2008
IEEE
16 years 1 months ago
Object recognition and segmentation by non-rigid quasi-dense matching
In this paper, we present a non-rigid quasi-dense matching method and its application to object recognition and segmentation. The matching method is based on the match propagation...
Esa Rahtu, Janne Heikkilä, Juho Kannala, Sami...