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» Robust locally linear embedding
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NN
1998
Springer
108views Neural Networks» more  NN 1998»
14 years 9 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
15 years 4 months ago
Differential evolution approach to the grid-based localization and mapping problem
— A new solution to the Simultaneous Localization and Modelling problem is presented. It is based on the stochastic search of solutions in the state space to the global localizat...
Luis Moreno, Santiago Garrido, Fernando Martin, Ma...
ATAL
2008
Springer
14 years 11 months ago
Decentralised coordination of low-power embedded devices using the max-sum algorithm
This paper considers the problem of performing decentralised coordination of low-power embedded devices (as is required within many environmental sensing and surveillance applicat...
Alessandro Farinelli, Alex Rogers, Adrian Petcu, N...
CVPR
2005
IEEE
15 years 11 months ago
A Nonlinear Approach for Face Sketch Synthesis and Recognition
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two e...
Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing ...
WACV
2012
IEEE
13 years 5 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang