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ICIAP
2009
ACM
15 years 6 months ago
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...
ICCV
2011
IEEE
14 years 1 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
SPATIALCOGNITION
2004
Springer
15 years 7 months ago
SNAPVis and SPANVis: Ontologies for Recognizing Variable Vista Spatial Environments
This paper gives the SNAP and SPAN ontologies relating to recognizing variable vista spatial environments, namely, SNAPVis and SPANVis. It proposes that recognizing spatial environ...
Tiansi Dong
FLAIRS
2006
15 years 3 months ago
The Theory of Cognitive Prism-Recognizing Variable Spatial Environments
This paper outlines a symbolic computational theory for recognizing variable spatial environments-The Theory of Cognitive Prism, (Dong 2005). This theory defines distance and orie...
Tiansi Dong
CVPR
2008
IEEE
16 years 3 months ago
Looking around the backyard helps to recognize faces and digits
Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the use of knowledge fro...
Honghao Shan, Garrison W. Cottrell