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ICANN
2009
Springer
15 years 8 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
DM
2010
107views more  DM 2010»
15 years 1 months ago
An analytic approach to stability
The stability method is very useful for obtaining exact solutions of many extremal graph problems. Its key step is to establish the stability property which, roughly speaking, sta...
Oleg Pikhurko
HVEI
2010
14 years 11 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
CRV
2005
IEEE
133views Robotics» more  CRV 2005»
15 years 7 months ago
Registration Uncertainty for Robot Self-localization in 3D
Stereo camera is a very important sensor for mobile robot localization and mapping. Its consecutive images can be used to estimate the location of the robot with respect to its en...
Pifu Zhang, Jason Gu, Evangelos E. Milios
JDCTA
2010
161views more  JDCTA 2010»
14 years 8 months ago
Selection of Wavelet Decomposition Level in Multi-Scale Sensor Data Fusion of MEMS Gyroscope
Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it's widely used the Wavelet-base...
Ren Ya-fei, Ke Xi-zheng