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» Learning Models for Object Recognition
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ICANN
2010
Springer
13 years 11 months ago
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
Abstract. A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood. However, the differences ...
Dominik Scherer, Andreas Müller, Sven Behnke
DAGM
2001
Springer
14 years 2 months ago
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
Carsten Steger
PAMI
2012
12 years 18 days ago
Recursive Segmentation and Recognition Templates for Image Parsing
— Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan...
NIPS
2008
13 years 11 months ago
Recursive Segmentation and Recognition Templates for 2D Parsing
Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchical ...
Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan ...
ICANN
2005
Springer
14 years 3 months ago
The Emergence of Visual Object Recognition
The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and...
Alessio Plebe, Rosaria Grazia Domenella