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» Receptive Field Structures for Recognition
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ICCV
2003
IEEE
16 years 7 months ago
Fragmentation in the Vision of Scenes
Natural images are highly structured in their spatial configuration. Where one would expect a different spatial distribution for every image, as each image has a different spatial...
Jan-Mark Geusebroek, Arnold W. M. Smeulders
ICIC
2007
Springer
15 years 11 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
CVPR
2005
IEEE
16 years 7 months ago
Diagram Structure Recognition by Bayesian Conditional Random Fields
Hand-drawn diagrams present a complex recognition problem. Elements of the diagram are often individually ambiguous, and require context to be interpreted. We present a recognitio...
Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka
TFS
2008
174views more  TFS 2008»
15 years 5 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
NIPS
1994
15 years 6 months ago
Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure
The macaque lateral geniculate nucleus (LGN) exhibits an intricate lamination pattern, which changes midway through the nucleus at a point coincident with small gaps due to the bl...
Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli