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Camille Vidal

dblp:08/3350 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 77% Generative modeling · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
template matching		 0.112010
Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models · Int. J. Comput. Vis. 2010
Machine learning › Generative modeling › generative model
probabilistic image models		 0.012010
Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models · Int. J. Comput. Vis. 2010

Methods — techniques the papers use, named apart from their topics

probabilistic image models · 0.1
YearPublicationVenuePosition
2010 Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models
Camille Vidal, Bruno Jedynak
 Int. J. Comput. Vis.1