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» Learning Models for Object Recognition
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ICONIP
1998
14 years 11 months ago
Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron
A rotation-invariant neocognitron, which has been recently proposed by authors, is trained by using hand-written numerical patterns provided by ETL-1 database. A new learning algo...
Shunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo...
PAMI
2012
13 years 18 days ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
IJCV
2008
242views more  IJCV 2008»
14 years 10 months ago
3D Urban Scene Modeling Integrating Recognition and Reconstruction
Supplying realistically textured 3D city models at ground level promises to be useful for pre-visualizing upcoming traffic situations in car navigation systems. Because this previs...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...
106
Voted
BMVC
2010
14 years 8 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh
96
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ICCV
2007
IEEE
16 years 4 days ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...