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» Object Recognition with Hierarchical Stel Models
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BC
2006
149views more  BC 2006»
14 years 9 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
ABIALS
2008
Springer
15 years 4 months ago
A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies
Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical ...
Anthony F. Morse, Robert Lowe, Tom Ziemke
142
Voted
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
IDA
2008
Springer
14 years 9 months ago
ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA cod
We developed Relational Data Mining approach which allows to overcome essential limitations of the Data Mining and Knowledge Discovery techniques. In the paper the approach was im...
I. V. Khomicheva, Eugenii E. Vityaev, Elena A. Ana...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 9 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio