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» Learning structured dictionaries for image representation
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PAMI
2008
182views more  PAMI 2008»
13 years 7 months ago
A Hierarchical Compositional Model for Face Representation and Sketching
This paper presents a hierarchical-compositional model of human faces, as a three-layer AND-OR graph to account for the structural variabilities over multiple resolutions. In the A...
Zijian Xu, Hong Chen, Song Chun Zhu, Jiebo Luo
EMMCVPR
2011
Springer
12 years 7 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
ICCV
2007
IEEE
14 years 9 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
13 years 12 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
CVPR
2004
IEEE
14 years 9 months ago
Unsupervised Learning of Image Manifolds by Semidefinite Programming
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
Kilian Q. Weinberger, Lawrence K. Saul