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» Learning By Observation Using Qualitative Spatial Relations
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
ICDE
2008
IEEE
182views Database» more  ICDE 2008»
14 years 2 months ago
Two-phase schema matching in real world relational databases
— We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching tech...
Nikolaos Bozovic, Vasilis Vassalos
ICASSP
2008
IEEE
14 years 2 months ago
Video denoising using higher order optimal space-time adaptation
The optimal spatial adaptation (OSA) method [1] proposed by Boulanger and Kervrann has proven to be quite effective for spatially adaptive image denoising. This method, in additio...
Hae Jong Seo, Peyman Milanfar
ICCV
2007
IEEE
14 years 2 months ago
Toward a Theory of Shape from Specular Flow
The image of a curved, specular (mirror-like) surface is a distorted reflection of the environment. The goal of our work is to develop a framework for recovering general shape fr...
Yair Adato, Yuriy Vasilyev, Ohad Ben-Shahar, Todd ...
BMVC
2010
13 years 5 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh