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» Learning Models for Object Recognition
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ACCV
1995
Springer
15 years 1 months ago
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
Michael Lindenbaum
ICIAP
2001
Springer
15 years 10 months ago
Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
Sergiu Nedevschi, Tiberiu Marita, Daniela Puiu
ICCV
2003
IEEE
15 years 12 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
MM
2004
ACM
219views Multimedia» more  MM 2004»
15 years 3 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo

Book
640views
16 years 9 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari