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» Markov Random Field Modeling in Computer Vision
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136
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BMVC
2010
15 years 2 months ago
A Novel Framework for Tracking In-vitro Cells in Time-lapse Phase Contrast Data
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 ...
Ketheesan Thirusittampalam, M. Julius Hossain, Ovi...
IEEEICCI
2007
IEEE
15 years 10 months ago
An Image Association Model of the Brodmann Areas
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 ...
Douglas S. Greer
ECCV
1996
Springer
16 years 6 months ago
Learning Dynamics of Complex Motions from Image Sequences
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 ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
145
Voted
BMVC
2002
15 years 6 months ago
A Qualitative, Multi-scale Grammar For Image Description and Analysis
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...
Derek R. Magee
150
Voted
COLING
2010
14 years 11 months ago
Kernel-based Reranking for Named-Entity Extraction
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...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...