1427 search results - page 223 / 286 » Markov Random Field Models in Computer Vision |
108
click to vote
BMVC
2010
14 years 11 months ago
2010
With the proliferation of modern microscopy imaging technologies the amount of data that has to be analysed by biologists is constantly increasing and as a result the development ...
IEEEICCI
2007
IEEE
15 years 7 months ago
2007
IEEE
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
116
click to vote
ECCV
1996
Springer
16 years 3 months ago
1996
Springer
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
118
click to vote
BMVC
2002
15 years 4 months ago
2002
A qualitative image description grammar with automatic image fitting and object modelling algorithms is presented. The grammar is based on assigning a square sub-region of an imag...
120
click to vote
COLING
2010
14 years 8 months ago
2010
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...