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ICCV
2011
IEEE
13 years 9 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICPR
2006
IEEE
15 years 11 months ago
Part-Based Multi-Frame Registration for Estimation of the Growth Of Cellular Networks in Plant Roots
Motion estimation from confocal scanning laser microscope images of growing plant cell structures presents interesting challenges; motion exhibits multiple local discontinuities a...
Timothy J. Roberts, Stephen J. McKenna, J. Hans, T...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
15 years 10 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
ICIP
2008
IEEE
15 years 11 months ago
Image registration using Adaptive Polar Transform
Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently r...
Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing
CORR
2010
Springer
258views Education» more  CORR 2010»
14 years 10 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas