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» Learning Models for Object Recognition
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WWW
2005
ACM
16 years 2 months ago
Towards autonomic web-sites based on learning automata
Autonomics or self-reorganization becomes pertinent for websites serving a large number of users with highly varying workloads. An important component of self-adaptation is to mod...
Pradeep S, Chitra Ramachandran, Srinath Srinivasa
PAMI
2010
205views more  PAMI 2010»
15 years 10 days ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
CVPR
1997
IEEE
16 years 4 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
AH
2008
Springer
15 years 8 months ago
Supporting Interaction Preferences and Recognition of Misconceptions with Independent Open Learner Models
Misconceptions have been identified in many subjects. However, there has been less investigation into students' interest in their misconceptions. This paper presents two indep...
Susan Bull, Andrew Mabbott, Peter Gardner, Tim Jac...
NIPS
1997
15 years 3 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung