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» Learning Models for Object Recognition
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122
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ICPR
2000
IEEE
15 years 6 months ago
A Bayesian Approach to Object Identification in Pattern Recognition
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Gunter Ritter, María Teresa Gallegos
133
Voted
ICPR
2000
IEEE
15 years 6 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
INTERACT
2003
15 years 3 months ago
Implementing Learning Content Management
: The concept of Learning Objects has been introduced in the e-learning field to enhance the accessibility, reusability, and interoperability of learning content. Despite intensive...
Samuel Schluep, Pamela Ravasio, Sissel Guttormsen ...
PCI
2005
Springer
15 years 8 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
113
Voted
ICMLA
2009
15 years 4 days ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz