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» Locally Monotonic Models for Image and Video Processing
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TIP
2008
144views more  TIP 2008»
15 years 3 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras
ICANN
2007
Springer
15 years 10 months ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
DAGM
2003
Springer
15 years 9 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, ...
SG
2005
Springer
15 years 9 months ago
Intuitive Shape Modeling by Shading Design
Shading has a great impact to the human perception of 3D objects. Thus, in order to create or to deform a 3D object, it seems natural to manipulate its perceived shading. This pape...
Bertrand Kerautret, Xavier Granier, Achille J.-P. ...
ECCV
2004
Springer
16 years 5 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard