Real-Time Accurate Stereo Matching Using Modified Two-Pass Aggregation and Winner-Take-All Guided Dynamic Programming

2011 ◽  
Author(s):  
Xuefeng Chang ◽  
Zhong Zhou ◽  
Liang Wang ◽  
Yingjie Shi ◽  
Qinping Zhao
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Stereo Matching ◽  
Winner Take All ◽  
Take All

Combining distributed and localist computations in real-time neural networks

2000 ◽  
Vol 23 (4) ◽  
pp. 473-474 ◽  
Author(s):  
Gail A. Carpenter
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Neural Models ◽  
Distributed Representations ◽  
Network Hierarchy ◽  
Winner Take All ◽  
Take All

In order to benefit from the advantages of localist coding, neural models that feature winner-take-all representations at the top level of a network hierarchy must still solve the computational problems inherent in distributed representations at the lower levels.

scholarly journals Real-time stereo matching on CUDA using Fourier descriptors and dynamic programming

2019 ◽  
Vol 5 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Mohamed Hallek ◽  
Fethi Smach ◽  
Mohamed Atri
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Stereo Matching ◽  
Fourier Descriptors

Real-time pattern recognition system based on a bipolar winner-take-all model with a threshold

1994 ◽  
Vol 19 (24) ◽  
pp. 2158 ◽  
Author(s):  
Jin-Yuan Shen ◽  
Tie-Ying Ding ◽  
Yan-Xin Zhang ◽  
Guo-Guang Mu
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Recognition System ◽  
Time Pattern ◽  
Pattern Recognition System ◽  
Winner Take All ◽  
Take All
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