Oswaldo Ludwig
TítuloCitado porAno
Trainable classifier-fusion schemes: an application to pedestrian detection
O Ludwig, D Delgado, V Gonçalves, U Nunes
Intelligent Transportation Systems, 2009. ITSC'09. 12th International IEEE …, 2009
2722009
LIDAR and vision‐based pedestrian detection system
C Premebida, O Ludwig, U Nunes
Journal of Field Robotics 26 (9), 696-711, 2009
1922009
Exploiting lidar-based features on pedestrian detection in urban scenarios
C Premebida, O Ludwig, U Nunes
2009 12th International IEEE Conference on Intelligent Transportation …, 2009
942009
Novel maximum-margin training algorithms for supervised neural networks
O Ludwig, U Nunes
IEEE Transactions on Neural Networks 21 (6), 972-984, 2010
892010
Redes neurais-fundamentos e aplicações com programas em C
O Ludwig, E Costa
Editora Ciência Moderna, 2007
732007
Improving the generalization properties of neural networks: an application to vehicle detection
O Ludwig, U Nunes
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE …, 2008
462008
Applications of information theory, genetic algorithms, and neural models to predict oil flow
O Ludwig, U Nunes, R Araújo, L Schnitman, HA Lepikson
Communications in Nonlinear Science and Numerical Simulation 14 (7), 2870-2885, 2009
442009
Eigenvalue decay: A new method for neural network regularization
O Ludwig, U Nunes, R Araujo
Neurocomputing 124, 33-42, 2014
372014
Design of automatic meter reading based on Zigbee
P Corral, B Coronado, AC de Castro Lima, O Ludwig
IEEE Latin America Transactions 10 (1), 1150-1155, 2012
372012
A cascade classifier applied in pedestrian detection using laser and image-based features
C Premebida, O Ludwig, M Silva, U Nunes
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
332010
Evaluation of boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection
O Ludwig, C Premebida, U Nunes, R Araújo
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
182011
Time-varying channel neural equalisation using Gauss-Newton algorithm
P Corral, O Ludwig, ACC Lima
Electronics Letters 46 (15), 1055-1056, 2010
132010
Parking spaces detection in indoor environments based on Zigbee
P Corral, JA Perez, ACDC Lima, O Ludwig
IEEE Latin America Transactions 10 (1), 1162-1167, 2012
122012
Deep Embedding for Spatial Role Labeling
O Ludwig, X Liu, P Kordjamshidi, MF Moens
eprint arXiv:1603.08474, Mar 2016, 2016
102016
Improving the generalization capacity of cascade classifiers
O Ludwig, U Nunes, B Ribeiro, C Premebida
IEEE transactions on cybernetics 43 (6), 2135-2146, 2013
102013
Optimization of ann applied to non-linear system identification
O Ludwig, PC Gonzalez, AC de C Lima
Proceedings of the 25th IASTED international conference on Modeling …, 2006
82006
Exploring sensor fusion schemes for pedestrian detection in urban scenarios
C Premebida, O Ludwig, J Matsuura, U Nunes
Iros 3rd Workshop: Planning, Perception and Navigation for Intelligent …, 2009
72009
Neural equalizer for time varying channel using Gauss-Newton training algorithm
CJC Santos, O Ludwig, PC Gonzalez, ACC Lima
2008 2nd International Conference on Signal Processing and Communication …, 2008
52008
Uma arquitetura neural hibrida para extração de regras nebulosas
O Ludwig, L Schnitman, H Lepikson
IEEE Latin America Transactions 2 (2), 2004
42004
End-to-end adversarial learning for generative conversational agents
O Ludwig
arXiv preprint arXiv:1711.10122, 2017
32017
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