Search results

Bruzzone, L.; Persello, C.: Approaches Based on Support Vector Machine to Classification of Remote Sensing Data. In: Handbook of Pattern Recognition and Computer Vision, 3.2, pp. 329 - 352 (Ed. Chen, C.). Imperial College Press, London, UK (2010)

Bülthoff, I.: Recognition. In: Encyclopedia of Perception, Vol. 2, pp. 863 - 864 (Ed. Goldstein, B.). Sage, Los Angeles, CA, USA (2010)

de Araujo, I.; Ren, X.; Ferreira, J.: Metabolic sensing in brain dopamine systems. In: Sensory and Metabolic Control of Energy Balance, pp. 69 - 86. Springer, Berlin, Germany (2010)

Detry, R.; Başeski, E.; Popović, M.; Touati, Y.; Krüger, N.; Krömer, O.; Peters, J.; Piater, J.: Learning Continuous Grasp Affordances by Sensorimotor Exploration. In: From Motor Learning to Interaction Learning in Robots, pp. 451 - 465 (Eds. Sigaud, O.; Peters, J.). Springer, Berlin, Germany (2010)

Erb, M.; Sitaram, R.: Neuroimaging Experiments on Meditation. In: Zen in the Light of Science (Ed. Triệt, T.). Śūnyatā Meditation Association, Perris, CA, USA (2010)

Graf, M.: Categorization and Object Shape. In: Towards a theory of thinking: building blocks for a conceptual framework, pp. 73 - 101 (Eds. Glatzeder, M.; Goel, V.; Müller, A.). Springer, Berlin, Germany (2010)

Henning, A.: In Vivo 1H MRS Applications. In: Encyclopedia of Spectroscopy and Spectrometry, Vol. Vol. 2, pp. 1077 - 1084 (Eds. Lindon, J.; Tranter, G.). Elsevier, Amsterdam, Netherlands (2010)

Henning, A.: In Vivo 1H MRS Methods. In: Encyclopedia of spectroscopy and spectrometry, Vol. Vol. 2, pp. 1085 - 1098 (Eds. Lindon, J.; Tranter, G.). Elsevier, Amsterdam, Netherlands (2010)

Kayser, C.; Logothetis, N.: The Electrophysiological Background of the fMRI Signal. In: fMRI:Basics and Clinical Applications, pp. 23 - 33 (Eds. Ulmer, S.; Jansen, O.). Springer, Berlin, Germany (2010)

Kober, J.; Mohler, B.; Peters, J.: Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling. In: From Motor Learning to Interaction Learning in Robots, pp. 209 - 225 (Eds. Sigaud, O.; Peters, J.). Springer, Berlin, Germany (2010)

Logothetis, N.: Perception and the Brain. In: Towards a theory of thinking: building blocks for a conceptual framework, pp. 161 - 175 (Eds. Glatzeder, G.; Goel, V.; Müller, A.). Springer, Berlin, Germany (2010)

Nguyen-Tuong, D.; Seeger, M.; Peters, J.: Real-Time Local GP Model Learning. In: From Motor Learning to Interaction Learning in Robots, pp. 193 - 207 (Eds. Sigaud, O.; Peters, J.). Springer, Berlin, Germany (2010)

Panzeri, S.; Montani, F.; Notaro, G.; Magri, C.; Peterson, R.: Population Coding. In: Analysis of Parallel Spike Trains, pp. 303 - 319 (Eds. Grün, S.; Rotter, S.). Springer, New York, NY, USA (2010)

Petkov, C.; Kayser, C.; Logothetis, N.: Cortical processing of vocal sounds in primates. In: Handbook of mammalian vocalization: an integrative neuroscience approach, 4.4, pp. 135 - 147 (Ed. Brudzynski, S.). Academic Press, London, UK (2010)

Sigaud, O.; Peters, J.: From Motor Learning to Interaction Learning in Robots. In: From Motor Learning to Interaction Learning in Robots, pp. 1 - 12 (Eds. Sigaud, O.; Peters, J.). Springer, Berlin, Germany (2010)

Aihara, K.; Okada , M.; Adachi, M.; Watanabe, M.: Neural Networks and Architectures. In: Encyclopedia of Neuroscience, Vol. 14, pp. 2588 - 2592 (Eds. Binder, M.; Hirokawa, N.; Windhorst, U.). Springer, Berlin, Germany (2009)

Altun, Y.: Large Margin Methods for Part‐of‐Speech Tagging. In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, 9, pp. 139 - 158 (Eds. Keshet, J.; Bengio, S.). Wiley, Hoboken, NJ, USA (2009)

Banerjee, A.; Ghosh, J.; Dhillon, I.; Sra, S.: Text Clustering with Mixture of von Mises-Fisher Distributions. In: Text mining: classification, clustering, and applications, 6, pp. 121 - 154 (Eds. Srivastava, A.; Sahami, M.). CRC Press, Boca Raton, FL, USA (2009)

Braitenberg, V.: L‘imitazione degli automi naturali. In: Methodos: un'antologia, pp. 183 - 192 (Ed. Ceccato, S.). Odradek, Roma, Italy (2009)

Corfield, D.: Projection and Projectability. In: Dataset Shift in Machine Learning, 2, pp. 29 - 38 (Eds. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)