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EMNLP
2011
14 years 4 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
CAISE
2004
Springer
15 years 10 months ago
Multi-Paradigm Process Management
Automation and integration of business processes are at the heart of contemporary enterprise systems. In the pursuit of this goal, process automation technology is employed at vary...
Michael zur Muehlen, Michael Rosemann
CVPR
2009
IEEE
3784views Computer Vision» more  CVPR 2009»
16 years 11 months ago
What is the Spatial Extent of an Object?
This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the Pascal 2007 dataset. We u...
Arnold W. M. Smeulders, Jasper R. R. Uijlings, Rem...
CVPR
2003
IEEE
16 years 6 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
ECCV
2008
Springer
16 years 6 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
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