{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T05:34:55Z","timestamp":1737610495827,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540772958"},{"type":"electronic","value":"9783540772965"}],"license":[{"start":{"date-parts":[[2007,1,1]],"date-time":"2007-01-01T00:00:00Z","timestamp":1167609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-77296-5_16","type":"book-chapter","created":{"date-parts":[[2007,11,30]],"date-time":"2007-11-30T12:51:30Z","timestamp":1196427090000},"page":"164-173","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Multi-modal Sensors"],"prefix":"10.1007","author":[{"given":"Kyle I.","family":"Harrington","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hava T.","family":"Siegelmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"16_CR1","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1016\/j.mri.2004.10.007","volume":"22","author":"F. Babilonia","year":"2004","unstructured":"Babilonia, F., Mattiab, D., Babilonia, C., Astolfib, L., Salinarie, S., Basiliscoa, A., Rossinic, P.M., Marcianib, M.G., Cincotti, F.: Multimodal integration of EEG, MEG, and fMRI data for the solution of the neuroimage puzzle. Magnetic Resonance Imaging\u00a022, 1471\u20131476 (2004)","journal-title":"Magnetic Resonance Imaging"},{"key":"16_CR2","unstructured":"Gottesfeld Brown, L.M.: Registration of Multimodal Medical Images - Exploiting Sensor Relationships. PhD thesis, Columbia University (1996)"},{"issue":"6","key":"16_CR3","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1109\/5.387089","volume":"83","author":"F. DuFaux","year":"1995","unstructured":"DuFaux, F., Moscheni, F.: Motion estimation techniques for digital TV: A review and a new contribution. Proceedings of IEEE\u00a083(6), 858\u2013876 (1995)","journal-title":"Proceedings of IEEE"},{"key":"16_CR4","unstructured":"Hull, B., Jamieson, K., Balakrishnan, H.: Bandwidth management in wireless sensor networks. Technical report, Massachusetts Institute of Technology (2003)"},{"key":"16_CR5","volume-title":"ACM SenSys","author":"A. Kansal","year":"2006","unstructured":"Kansal, A., Kaiser, W., Pottie, G., Srivastava, M., Sukhatme, G.S.: Virtual high-resolution for sensor networks. In: ACM SenSys, ACM Press, New York (2006)"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Kulkarni, P., Ganesan, D., Shenoy, P., Lu, Q.: Senseye: a multi-tier camera sensor network. In: MULTIMEDIA 2005. Proceedings of the 13th annual ACM international conference on Multimedia, New York, NY, USA, pp. 229\u2013238 (2005)","DOI":"10.1145\/1101149.1101191"},{"key":"16_CR7","first-page":"1301","volume":"10","author":"M. Lungarella","year":"2006","unstructured":"Lungarella, M., Sporns, O.: Mapping information flow in sensorimotor networks. PLoS Computational Biology\u00a010, 1301\u20131312 (2006)","journal-title":"PLoS Computational Biology"},{"key":"16_CR8","unstructured":"Mario, X.H.: Load balanced, energy-aware communications for mars sensor networks. In: IEEE Aerospace Conference Proceedings (2002)"},{"key":"16_CR9","unstructured":"Olsson, L., Nehaniv, C.L., Polani, D.: Sensory channel grouping and structure from uninterpreted sensor data. In: Proceedings of NASA\/DoD Conference on Evolvable Hardware (2004)"},{"key":"16_CR10","unstructured":"Olsson, L., Nehaniv, C.L., Polani, D.: From unknown sensors and actuators to visually guided movement. In: Proceedings of the 4th International Conference on Development and Learning (2005)"},{"key":"16_CR11","unstructured":"Olsson, L., Nehaniv, C.L., Polani, D.: Sensor adaptation and development in robots by entropy maximization of sensory data. In: CIRA 2005. Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation (2005)"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Prati, A., Vezzani, R., Benini, L., Farella, E., Zappi, P.: An integrated multi-modal sensor network for video surveillance. In: VSSN 2005. Proceedings of the third ACM international workshop on Video surveillance & sensor networks, New York, NY, USA, pp. 95\u2013102 (2005)","DOI":"10.1145\/1099396.1099415"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Rixner, S., Dally, W.J., Kapasi, U.J., Khailany, B., Lopez-Lagunas, A., Mattson, P.R., Owens, J.D.: A bandwidth-efficient architecture for media processing. In: International Symposium on Microarchitecture, pp. 3\u201313 (1998)","DOI":"10.1109\/MICRO.1998.742118"},{"key":"16_CR14","first-page":"371","volume-title":"Proceedings of the 16th International Conference on Machine Learning","author":"J. Schneider","year":"1999","unstructured":"Schneider, J., Wong, W.-K., Moore, A., Riedmiller, M.: Distributed value functions. In: Proceedings of the 16th International Conference on Machine Learning, pp. 371\u2013378. Morgan Kaufmann, San Francisco, CA (1999)"},{"key":"16_CR15","first-page":"9","volume":"3","author":"R.S. Sutton","year":"1988","unstructured":"Sutton, R.S.: Learning to predict by the methods of temporal differences. Machine Learning\u00a03, 9 (1988)","journal-title":"Machine Learning"},{"key":"16_CR16","volume-title":"Reinforcement Learning: An Introduction","author":"R.S. Sutton","year":"1998","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)"},{"issue":"641","key":"16_CR17","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1098\/rstb.1952.0012","volume":"237","author":"A.M. Turing","year":"1952","unstructured":"Turing, A.M.: The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences\u00a0237(641), 37\u201372 (1952)","journal-title":"Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences"},{"key":"16_CR18","unstructured":"von Neumann, J.: Theory of Self-Reproducing Automata. University of Illinois Press, Urbana, Illinois (1966)"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Webb, J.A.: Latency and bandwidth considerations in parallel robotics image processing. In: Proceedings of Supercomputing, pp. 230\u2013239 (1993)","DOI":"10.1145\/169627.169714"},{"key":"16_CR20","unstructured":"Weise, T., Geihs, K.: Genetic programming techniques for sensor networks. In: Proceedings of 5. GI\/ITG KuVS Fachgespr\u00e4ch \u201cDrahtlose Sensornetze\u201d, pp. 21\u201325 (2006)"},{"key":"16_CR21","first-page":"483","volume-title":"DCC","author":"Y. Zhao","year":"2002","unstructured":"Zhao, Y., Garden Richardson, I.E.: Computational complexity management of motion estimation in video encoders. In: DCC, p. 483. IEEE Computer Society, Los Alamitos (2002)"}],"container-title":["Lecture Notes in Computer Science","50 Years of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-77296-5_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T01:54:49Z","timestamp":1737597289000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-77296-5_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540772958","9783540772965"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-77296-5_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}