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» Learning Generic Prior Models for Visual Computation
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ECCV
2008
Springer
15 years 11 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
ICASSP
2010
IEEE
14 years 9 months ago
Visual saliency for automatic target detection, boundary detection, and image quality assessment
We present a visual saliency detection method and its applications. The proposed method does not require prior knowledge (learning) or any pre-processing step. Local visual descri...
Hae Jong Seo, Peyman Milanfar
CVPR
2011
IEEE
14 years 5 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...
ICCV
2009
IEEE
14 years 7 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
IEEESCC
2008
IEEE
15 years 4 months ago
Mining Process Variants: Goals and Issues
Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model ...
Chen Li, Manfred Reichert, Andreas Wombacher