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» Proving Consistency of Pure Methods and Model Fields
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DAS
2008
Springer
14 years 11 months ago
Super-Resolution of Text Images Using Edge-Directed Tangent Field
This paper presents an edge-directed super-resolution algorithm for gray level document images without using any training set. This technique creates an image with smooth regions ...
Jyotirmoy Banerjee, C. V. Jawahar
CVPR
2010
IEEE
15 years 5 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICPR
2006
IEEE
15 years 10 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
CGF
2007
101views more  CGF 2007»
14 years 9 months ago
Consistent Viewing and Interaction for Multiple Users in Projection-Based VR Systems
In projection-based Virtual Reality (VR) systems, typically only one headtracked user views stereo images rendered from the correct view position. For other users, who are present...
Gerwin de Haan, Rene Molenaar, Michal Koutek, Frit...
CVPR
2008
IEEE
15 years 11 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie