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NIPS
2004
13 years 6 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ISCAS
2003
IEEE
131views Hardware» more  ISCAS 2003»
13 years 10 months ago
Process variation dimension reduction based on SVD
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
Zhuo Li, Xiang Lu, Weiping Shi
TIP
2002
179views more  TIP 2002»
13 years 4 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
PAMI
2008
185views more  PAMI 2008»
13 years 4 months ago
Three-View Multibody Structure from Motion
We propose a geometric approach to 3D motion segmentation from point correspondences in three perspective views. We demonstrate that after applying a polynomial embedding to the po...
René Vidal, Richard Hartley
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
13 years 2 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka