The interaction of maturational constraints and intrinsic motivations in active motor development, 2011 IEEE International Conference on Development and Learning (ICDL), pp.1-8, 2011. ,
DOI : 10.1109/DEVLRN.2011.6037315
URL : https://hal.archives-ouvertes.fr/hal-00646585
Perceptual symbol systems, Behavioral and Brain Sciences, vol.22, issue.04, pp.577-660, 1999. ,
DOI : 10.1017/S0140525X99002149
Mundane creativity in perceptual symbol systems., Conceptual structures and processes: Emergence, discovery, and change, 1997. ,
DOI : 10.1037/10227-011
Learning Deep Architectures for AI, Machine Learning, pp.1-127, 2009. ,
DOI : 10.1561/2200000006
Representation Learning: A Review and New Perspectives, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.8, pp.1-34, 2012. ,
DOI : 10.1109/TPAMI.2013.50
Learning long-term dependencies with gradient descent is difficult, IEEE Transactions on Neural Networks, vol.5, issue.2, pp.157-166, 1994. ,
DOI : 10.1109/72.279181
Rubber hands 'feel' touch that eyes see, Nature, issue.6669, p.391756, 1998. ,
Learning Deep Belief Networks from Non-stationary Streams, Artificial Neural Networks and Machine Learning?ICANN 2012, pp.379-386, 2012. ,
DOI : 10.1007/978-3-642-33266-1_47
Algorithms for manifold learning, 2005. ,
On the impact of learning hierarchical representations for visual recognition in robotics, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3759-3764, 2013. ,
DOI : 10.1109/IROS.2013.6696893
Deep Big Multilayer Perceptrons for Digit Recognition, Neural Networks Tricks of the Trade, vol.86, issue.11, pp.581-598, 2012. ,
DOI : 10.1109/5.726791
The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones, Neural Computation, vol.240, issue.1, pp.123-132, 1989. ,
DOI : 10.1016/0166-2236(83)90167-4
Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition, Cognition, vol.33, issue.1-2, pp.25-62, 1989. ,
DOI : 10.1016/0010-0277(89)90005-X
Category-related recognition defects as a clue to the neural substrates of knowledge, Trends in Neurosciences, vol.13, issue.3, pp.95-98, 1990. ,
DOI : 10.1016/0166-2236(90)90184-C
Perceptual learning from cross-modal feedback. Psychology of learning and motivation, pp.309-351, 1997. ,
Category Learning Through Multimodality Sensing, Neural Computation, vol.28, issue.5, pp.1097-1117, 1998. ,
DOI : 10.1037/0096-1523.16.2.391
Shallow versus Deep Sum-Product Networks, NIPS, pp.666-674, 2011. ,
The difficulty of training deep architectures and the effect of unsupervised pretraining, AISTAT, 2009. ,
Anatomical evidence of multimodal integration in primate striate cortex, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.22, issue.13, pp.5749-59, 2002. ,
Early auditory???visual interactions in human cortex during nonredundant target identification, Cognitive Brain Research, vol.14, issue.1, pp.20-30, 2002. ,
DOI : 10.1016/S0926-6410(02)00058-7
Top-Down Modulation of Lateral Interactions in Early Vision, Current Biology, vol.13, issue.11, pp.985-989, 2003. ,
DOI : 10.1016/S0960-9822(03)00333-6
Catastrophic forgetting in connectionist networks, Encyclopedia of Cognitive Science, 1991. ,
Auditory-Visual Integration during Multimodal Object Recognition in Humans: A Behavioral and Electrophysiological Study, Journal of Cognitive Neuroscience, vol.76, issue.5, pp.473-490, 1999. ,
DOI : 10.1016/0013-4694(75)90073-5
Understanding the difficulty of training deep feedforward neural networks, International Conference on Artificial Intelligence and Statistics (AISTATS10), pp.249-256, 2010. ,
Reuniting perception and conception, Cognition, vol.65, issue.2-3, pp.231-262, 1998. ,
DOI : 10.1016/S0010-0277(97)00047-4
Categorical perception, Wiley Interdisciplinary Reviews: Cognitive Science, vol.137, issue.1, pp.69-78, 2010. ,
DOI : 10.1002/wcs.26
Speech recognition with deep recurrent neural networks, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.6645-6649, 2013. ,
DOI : 10.1109/ICASSP.2013.6638947
Training and analysing deep recurrent neural networks, Advances in Neural Information Processing Systems 26, pp.190-198, 2013. ,
Reducing the Dimensionality of Data with Neural Networks, Science, vol.313, issue.5786, pp.313504-507, 2006. ,
DOI : 10.1126/science.1127647
Comparing partitions, Journal of Classification, vol.78, issue.1, pp.193-218, 1985. ,
DOI : 10.1007/BF01908075
Computing robot internal/external wrenches by means of inertial, tactile and F/T sensors: Theory and implementation on the iCub, 2011 11th IEEE-RAS International Conference on Humanoid Robots, pp.521-528, 2011. ,
DOI : 10.1109/Humanoids.2011.6100813
Object Learning Through Active Exploration, IEEE Transactions on Autonomous Mental Development, vol.6, issue.1, pp.1-18, 2013. ,
DOI : 10.1109/TAMD.2013.2280614
URL : https://hal.archives-ouvertes.fr/hal-00919694
Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.264-323, 1999. ,
DOI : 10.1145/331499.331504
Associative Self-organizing Map. IJCCI, pp.363-370, 2009. ,
On the foundations of perceptual symbol systems: Specifying embodied representations via connectionism, The Logic of Cognitive Systems. Proceedings of the Fifth International Conference on Cognitive Modeling, pp.147-152, 2003. ,
Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol.13, issue.1, pp.59-69, 1982. ,
DOI : 10.1007/BF00337288
Incremental locally linear embedding, Pattern Recognition, vol.38, issue.10, pp.1764-1767, 2005. ,
DOI : 10.1016/j.patcog.2005.04.006
ImageNet Classification with Deep Convolutional Neural Networks, Advances in Neural Information Processing Systems, pp.1106-1114, 2012. ,
Multi-modal convergence maps: from body schema and self-representation to mental imagery, Adaptive Behavior, vol.21, issue.4, pp.274-285, 2013. ,
DOI : 10.1177/1059712313488423
Incremental nonlinear dimensionality reduction by manifold learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.3, pp.377-91, 2006. ,
DOI : 10.1109/TPAMI.2006.56
Convolutional networks and applications in vision, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.253-256, 2010. ,
DOI : 10.1109/ISCAS.2010.5537907
Algorithms for non-negative matrix factorization, Advances in Neural Information Processing Systems, pp.556-562, 2001. ,
Efficient sparse coding algorithms, Advances in Neural Information Processing Systems, 2006. ,
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.609-616, 2009. ,
DOI : 10.1145/1553374.1553453
Self-organization of neural maps using a modulated BCM rule within a multimodal architecture, BICS, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00480028
ORO, a knowledge management platform for cognitive architectures in robotics, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3548-3553, 2010. ,
DOI : 10.1109/IROS.2010.5649547
Developmental approach for interactive object discovery, The 2012 International Joint Conference on Neural Networks (IJCNN), 2012. ,
DOI : 10.1109/IJCNN.2012.6252606
URL : https://hal.archives-ouvertes.fr/hal-00755298
Some methods for classification and analysis, Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967. ,
Learning semantic components from subsymbolic multimodal perception, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL), pp.1-7, 2013. ,
DOI : 10.1109/DevLrn.2013.6652563
URL : https://hal.archives-ouvertes.fr/hal-00842453
Deep learning via hessian-free optimization, Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp.735-742, 2010. ,
DOI : 10.1007/978-3-642-35289-8_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.4704
Hearing lips and seeing voices, Nature, vol.65, issue.5588, pp.246-248, 1976. ,
DOI : 10.1038/264746a0
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines, Neural Computation, vol.17, issue.6, pp.1473-1492, 2010. ,
DOI : 10.1007/3-540-47969-4_30
Gated Softmax Classification, Advances in Neural Information Processing Systems, pp.1603-1611, 2010. ,
Convergence and divergence in a neural architecture for recognition and memory, Trends in Neurosciences, vol.32, issue.7, pp.376-382, 2009. ,
DOI : 10.1016/j.tins.2009.04.002
Learning Object Affordances: From Sensory--Motor Coordination to Imitation, IEEE Transactions on Robotics, vol.24, issue.1, pp.15-26, 2008. ,
DOI : 10.1109/TRO.2007.914848
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.7283
Thinking with your body: Modelling spatial biases in categorization using a real humanoid robot, Proc. of 2010 annual meeting of the Cognitive Science Society, pp.1362-1368, 2010. ,
Epigenetic robotics architecture (era) Autonomous Mental Development, IEEE Transactions on, vol.2, issue.4, pp.325-339, 2010. ,
DOI : 10.1109/tamd.2010.2087020
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.1550
Grounding of word meanings in multimodal concepts using LDA, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3943-3948, 2009. ,
DOI : 10.1109/IROS.2009.5354736
Bag of multimodal LDA models for concept formation, 2011 IEEE International Conference on Robotics and Automation, pp.6233-6238, 2011. ,
DOI : 10.1109/ICRA.2011.5980324
Sample complexity of testing the manifold hypothesis, Advances in Neural Information Processing, 2010. ,
The icub platform: a tool for studying intrinsically motivated learning. In Intrinsically motivated learning in natural and artificial systems, pp.433-458, 2013. ,
On spectral clustering: Analysis and an algorithm, Advances in Neural Information Processing Systems, pp.849-856, 2001. ,
Multimodal Deep Learning, International Conference on Machine Learning, pp.689-696, 2011. ,
Introduction to the bag of features paradigm for image classification and retrieval, 2011. ,
Sparse coding with an overcomplete basis set: A strategy employed by v1? Vision research, pp.3311-3325, 1997. ,
Modular deep belief networks that do not forget, The 2011 International Joint Conference on Neural Networks, pp.1191-1198, 2011. ,
DOI : 10.1109/IJCNN.2011.6033359
Multimodal FeedForward Self-organizing Maps, Computational Intelligence and Security, pp.81-88, 2005. ,
DOI : 10.1007/11596448_11
Sum-product networks: A new deep architecture, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.337-346, 2011. ,
DOI : 10.1109/ICCVW.2011.6130310
Learning Deep Representations via Multiplicative Interactions between Factors of Variation, NIPS Workshop, 2013. ,
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems, 2010 IEEE International Conference on Robotics and Automation, pp.5047-5054, 2010. ,
DOI : 10.1109/ROBOT.2010.5509544
The Manifold Tangent Classifier, Advances in Neural Information Processing Systems, pp.2294-2302, 2011. ,
Higher Order Contractive Auto-Encoder, ECML/PKDD, pp.645-660, 2011. ,
DOI : 10.1016/S0042-6989(97)00169-7
Contractive Auto- Encoders: Explicit Invariance During Feature Extraction, Proceedings of the 28th International Conference on Machine Learning, pp.833-840, 2011. ,
Learning to Learn with Compound HD Models, Advances in Neural Information Processing Systems, pp.2061-2069, 2011. ,
Exploring speaker-specific characteristics with deep learning, The 2011 International Joint Conference on Neural Networks, pp.103-110, 2011. ,
DOI : 10.1109/IJCNN.2011.6033207
Object identification with tactile sensors using bag-of-features, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.243-248, 2009. ,
DOI : 10.1109/IROS.2009.5354648
The Development of Embodied Cognition: Six Lessons from Babies, Artificial Life, vol.45, issue.3, pp.13-30, 2005. ,
DOI : 10.1126/science.134.3491.1692
Dynamic pooling and unfolding recursive autoencoders for paraphrase detection, Advances in Neural Information Processing Systems, pp.801-809, 2011. ,
Discriminative feature extraction with Deep Neural Networks, The 2010 International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2010. ,
DOI : 10.1109/IJCNN.2010.5596329
Two Distributed-State Models For Generating High-Dimensional Time Series, J. Mach. Learn. Res, vol.12, pp.1025-1068, 2011. ,
Integration of speech and action in humanoid robots: icub simulation experiments. Autonomous Mental Development, IEEE Transactions on, vol.3, issue.1, pp.17-29, 2011. ,
Affordance learning from range data for multi-step planning, EpiRob, 2009. ,
A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language, Cognitive Computation, vol.8, issue.8???9, pp.1-12, 2013. ,
DOI : 10.1007/s12559-013-9212-5
Extracting and composing robust features with denoising autoencoders, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.1096-1103, 2008. ,
DOI : 10.1145/1390156.1390294
RoboEarth -A World Wide Web for Robots, IEEE Robotics and Automation Magazine, 2011. ,
Hierarchical Grouping to Optimize an Objective Function, Journal of the American Statistical Association, vol.58, issue.301, pp.236-244, 1963. ,
DOI : 10.1007/BF02289263
Towards multimodal neural robot learning, Robotics and Autonomous Systems, vol.47, issue.2-3, pp.171-175, 2004. ,
DOI : 10.1016/j.robot.2004.03.011
On the integration of grounding language and learning objects, AAAI, pp.488-493, 2004. ,
A novel incremental principal component analysis and its application for face recognition, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.4, pp.873-86, 2006. ,
DOI : 10.1109/TSMCB.2006.870645