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Probabilistic models for sequences
Williams, Christopher
(Principal Investigator)
School of Informatics
Institute for Adaptive and Neural Computation
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/10/98
→
30/09/01
Funding
EPSRC:
£172,708.00
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Maximum Likelihood
Engineering
100%
Prior Model
Engineering
100%
Bits Per Pixels
Computer Science
100%
Neural Network
Computer Science
100%
maximum-likelihood
Computer Science
66%
Image Analysis
Engineering
50%
Classification Performance
Engineering
50%
Maximum a Posteriori
Engineering
50%
Research output
Research output per year
2002
2002
2003
2003
2
Article
Research output per year
Research output per year
Dynamic trees for image modelling
Adams, N. J. &
Williams, C. K. I.
,
Sept 2003
,
In:
Image and vision computing.
21
,
10
,
p. 865-877
13 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Bits Per Pixels
100%
Simulated Annealing
100%
Field Approximation
50%
Combining belief networks and neural networks for scene segmentation
Feng, X.,
Williams, C. K. I.
& Felderhof, S. N.,
1 Apr 2002
,
In:
IEEE Transactions on Pattern Analysis and Machine Intelligence.
24
,
4
,
p. 467-483
17 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Maximum Likelihood
100%
Prior Model
100%
Neural Network
100%
maximum-likelihood
66%
Finite Number
50%