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» Learning Visual Invariance
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ICPR
2006
IEEE
14 years 11 months ago
Discriminative Descriptor-Based Observation Model for Visual Tracking
Varying illumination and partial occlusion are two main difficulties in visual tracking. Existing methods based on appearance information cannot solve these problems effectively s...
Chu-Song Chen, Wen-Yan Chang, Yi-Ping Hung
ICIP
2010
IEEE
13 years 7 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...
ICML
2009
IEEE
14 years 10 months ago
Deep learning from temporal coherence in video
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
Hossein Mobahi, Ronan Collobert, Jason Weston
IVC
2000
93views more  IVC 2000»
13 years 9 months ago
Pattern regularity as a visual key
Regular structures, flat and non-flat, are perceived as regular in a wide range of viewing angles and under varying illumination. In this papers, we exploit this simple observatio...
Dmitry Chetverikov
NN
2008
Springer
13 years 9 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue