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TIP
1998
13 years 8 months ago
1998
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We study the cosegmentation problem where the objective
is to segment the same object (i.e., region) from a pair
of images. The segmentation for each image can be cast
using a p...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
NIPS
2008
13 years 10 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...