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NECO
2007
115views more  NECO 2007»
13 years 9 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
IJCV
2012
12 years 11 hour ago
Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines
Abstract This paper explores the impact that landmark parametrization has in the performance of monocular, EKFbased, 6-DOF simultaneous localization and mapping (SLAM) in the conte...
Joan Solà, Teresa A. Vidal-Calleja, Javier ...
ICMCS
2008
IEEE
169views Multimedia» more  ICMCS 2008»
14 years 4 months ago
Constructing panoramic views through facial gaze tracking
This paper describes a human machine interaction application for building panoramic views easily and efficiently. The panoramas are not limited to the 1D problem (one axis of rot...
Fadi Dornaika, Bogdan Raducanu
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
14 years 3 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
PADL
2007
Springer
14 years 3 months ago
From Zinc to Design Model
We describe a preliminary implementation of the high-level modelling language Zinc. This language supports a modelling methodology in which the same Zinc model can be automatically...
Reza Rafeh, Maria J. García de la Banda, Ki...