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» Improving object classification using semantic attributes
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PAMI
2011
13 years 2 months ago
Color Constancy Using Natural Image Statistics and Scene Semantics
—Existing color constancy methods are all based on specific assumptions such as the spatial and spectral characteristics of images. As a consequence, no algorithm can be conside...
Arjan Gijsenij, Theo Gevers
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
CVIU
2004
115views more  CVIU 2004»
13 years 7 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
JMLC
2000
Springer
13 years 11 months ago
Composable Message Semantics in Oberon
Most object-oriented languages offer a limited number of invocation semantics. At best, they define a default mode of synchronous invocation, plus some keywords to express addition...
Markus Hof
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang