477 search results - page 23 / 96 » Modeling Image Textures by Gibbs Random Fields |
136
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
111
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
97
Voted
IDA
2009
Springer
15 years 7 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
102
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...