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» Gaussian Processes for Object Categorization
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JOCN
2010
108views more  JOCN 2010»
13 years 9 months ago
Verbal Labels Modulate Perceptual Object Processing in 1-Year-Old Children
■ Whether verbal labels help infants visually process and categorize objects is a contentious issue. Using electroencephalography, we investigated whether possessing familiar or...
Teodora Gliga, Agnes Volein, Gergely Csibra
ICASSP
2010
IEEE
13 years 8 months ago
GHT based implementation of the expectation maximization for mixtures of multi-Gaussians and its applications to video tracking
In this work, the problem of the estimation of parameters in case of mixtures of models composed by the sum of multiple Gaussians is considered. It will be shown how this estimati...
Francesco Monti, Carlo S. Regazzoni
IVC
2008
182views more  IVC 2008»
13 years 10 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
CVPR
2012
IEEE
12 years 1 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
ICASSP
2011
IEEE
13 years 2 months ago
Rao-Blackwellized particle filter for Gaussian mixture models and application to visual tracking
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
Jungho Kim, In-So Kweon