Zobrazeno 1 - 10
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pro vyhledávání: '"Donald Perlis"'
Publikováno v:
Sensors, Vol 18, Iss 5, p 1427 (2018)
Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE). MHDE learns to intelli
Externí odkaz:
https://doaj.org/article/dcce72542fa14d10ade143f7e9d7e8b4
Autor:
Darsana P. Josyula, Justin D. Brody, David Sekora, Seth M. Rabin, Clifford Bakalian, Matthew D. Goldberg, Adam Hamlin, Donald Perlis, Jesse Silverberg, Jared Shamwell, Timothy C. Clausner, Vincent Hsiao, Chris Maxey
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
Steven Spielberg’s “A.I.” tells the story of two artificial agents: David and Teddy. While David resembles a human child, his companion Teddy is much simpler. Its behavior, however, still suggests a crucial mix of capabilities that stretch the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81fedd0a170caa950b5d90c1dc02251
https://doi.org/10.1007/978-981-15-9323-9_31
https://doi.org/10.1007/978-981-15-9323-9_31
Publikováno v:
Sensors, Vol 18, Iss 5, p 1427 (2018)
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1427
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1427
Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE). MHDE learns to intelli
Publikováno v:
MFI
Due both to the speed and quality of their sensors and restrictive on-board computational capabilities, current state-of-the-art (SOA) size, weight, and power (SWaP) constrained autonomous robotic systems are limited in their abilities to sample, fus
Publikováno v:
ICDL-EPIROB
As the human eyeball saccades across the visual scene, humans maintain egocentric visual positional constancy despite retinal motion identical to an egocentric shift of the scene. Characterizing the underlying biological computations enabling visual
Autor:
Donald Perlis
Publikováno v:
Outstanding Contributions to Logic ISBN: 9783319418414
Martin Davis on Computability, Computational Logic, and Mathematical Foundations
Martin Davis on Computability, Computational Logic, and Mathematical Foundations
The concept of infinity took centuries to achieve recognized status in the field of mathematics, despite the fact that it was implicitly present in nearly all mathematical endeavors. Here I explore the idea that a similar development might be warrant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50c3f8df925d33060db9b8e20684ed4a
https://doi.org/10.1007/978-3-319-41842-1_9
https://doi.org/10.1007/978-3-319-41842-1_9
Autor:
Donald Perlis
Publikováno v:
International Journal of Machine Consciousness. :261-271
Evolutionary and cognitive examples are used to motivate an approach to the brittleness problem and automated flexible cognition, centering on the notion of an anomaly as the key focus of processing. Ongoing investigations based on this approach are
Publikováno v:
Synthese. 175:39-62
The process of rationally revising beliefs in the light of new information is a topic of great importance and long-standing interest in artificial intelligence. Moreover, significant progress has been made in understanding the philosophical, logical,
Publikováno v:
Artificial Intelligence. 172(8-9):1045-1063
For some time we have been developing, and have had significant practical success with, a time-sensitive, contradiction-tolerant logical reasoning engine called the active logic machine (ALMA). The current paper details a semantics for a general vers
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 18:387-411
Maintaining adequate performance in dynamic and uncertain settings has been a perennial stumbling block for intelligent systems. Nevertheless, any system intended for real-world deployment must be able to accommodate unexpected change—that is, it m