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» On deformable models for visual pattern recognition
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CVPR
2011
IEEE
14 years 9 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
AUSAI
2008
Springer
15 years 2 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
104
Voted
VIS
2004
IEEE
222views Visualization» more  VIS 2004»
16 years 1 months ago
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
Alexandra La Cruz, Matús Straka, Arnold K&o...
100
Voted
PREMI
2005
Springer
15 years 5 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 5 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu