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» Automatic Image Colorization Via Multimodal Predictions
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PAMI
2002
108views more  PAMI 2002»
13 years 7 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery
MLMI
2004
Springer
14 years 27 days ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio
ISWC
2002
IEEE
14 years 14 days ago
Personalized Augmented Reality Touring of Archaeological Sites with Wearable and Mobile Computers
: This paper presents ARCHEOGUIDE, a novel system offering augmented reality tours in archaeological sites. The system is based on wearable and mobile computers, networking technol...
Vassilios Vlahakis, John Karigiannis, Manolis Tsot...
ECCV
2010
Springer
14 years 2 days ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
APGV
2006
ACM
138views Visualization» more  APGV 2006»
13 years 9 months ago
Verification of rendering quality from measured BTFs
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...
Jan Meseth, Gero Müller, Reinhard Klein, Flor...