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» Learning Models for Object Recognition
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CVPR
2008
IEEE
13 years 10 months ago
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
Duc-Son Pham, Svetha Venkatesh
AMR
2003
Springer
179views Multimedia» more  AMR 2003»
14 years 3 months ago
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia lea...
Judy Kay, Andrew Lum
ICEIS
2010
IEEE
13 years 8 months ago
Pattern Recognition as a Human Centered non-Euclidean Problem
Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridg...
Robert P. W. Duin
SSPR
2004
Springer
14 years 3 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Object Recognition and Recovery by Skeleton Graph Matching
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
Lei He, Chia Y. Han, William G. Wee