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» Layered Object Models for Image Segmentation
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DAGM
2003
Springer
15 years 2 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
NIPS
2007
14 years 11 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
CVPR
2008
IEEE
15 years 11 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
68
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IJCNN
2008
IEEE
15 years 4 months ago
Image clustering with spiking neuron network
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
B. Meftah, A. Benyettou, Olivier Lezoray, W. QingX...
GRAPHICSINTERFACE
2004
14 years 11 months ago
Interactive Image-Based Exploded View Diagrams
We present a system for creating interactive exploded view diagrams using 2D images as input. This imagebased approach enables us to directly support arbitrary rendering styles, e...
Wilmot Li, Maneesh Agrawala, David Salesin