Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Michael Kuperstein"'
Autor:
Michael Kuperstein
Publikováno v:
Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks ISBN: 9781351075060
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b82f0807c19fe813e788ca43d98fc7b
https://doi.org/10.1201/9781351075060-20
https://doi.org/10.1201/9781351075060-20
Publikováno v:
ACM SIGACT News. 43:108-123
We addresses the problem of automatic verification and fence inference in concurrent programs running under relaxed memory models. Modern architectures implement relaxed memory models in which memory operations may be reordered and executed non-atomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acc44b726d27ee3fabe538b39be0561
https://doi.org/10.1145/2261417.2261438
https://doi.org/10.1145/2261417.2261438
Publikováno v:
PLDI
We present an approach for automatic verification and fence inference in concurrent programs running under relaxed memory models. Verification under relaxed memory models is a hard problem. Given a finite state program and a safety specification, ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a7d275db23bdb7726ffef756a880a8
https://doi.org/10.1145/1993498.1993521
https://doi.org/10.1145/1993498.1993521
Autor:
Michael Kuperstein
Publikováno v:
Neural Networks. 4:131-145
This review presents a theory and prototype for a neural controller called INFANT that learns sensory-motor coordination from its own experience. Three adaptive abilities are discussed: locating stationary targets with movable sensors; grasping arbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16198bc7705f8dde16ff81a1a2a46a98
https://doi.org/10.1016/0893-6080(91)90001-l
https://doi.org/10.1016/0893-6080(91)90001-l
Publikováno v:
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
A neural network approach has successfully solved the time-consuming practical problem of aligning the many optical elements used in the resonator of high-power chemical layers. Because the neural net can achieve optimal performance in only two-four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2c4624b59d887cf177202761ca8064a
https://doi.org/10.1109/ijcnn.1992.226885
https://doi.org/10.1109/ijcnn.1992.226885
Autor:
Michael Kuperstein
Over the past year our research on the generation and control of path planning has formed a new theory using neural networks that allows intelligent agents to automate sub-tasking in achieving desired goals. This theory called Growth Cycles provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13535b77ec5b02b4c0715d7c4fe55bb8
https://doi.org/10.21236/ada298853
https://doi.org/10.21236/ada298853
Publikováno v:
SPIE Proceedings.
A novel neural net approach has successfully solved the time consuming practical problem of aligning the many optical elements used in the resonator of high power chemical lasers. Moreover, because the neural net can achieve optimal performance in on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e35c536a579636ebf9440031e8183b08
https://doi.org/10.1117/12.160406
https://doi.org/10.1117/12.160406
Autor:
Michael Kuperstein
Publisher Summary This chapter discusses the adaptive sensory-motor coordination through self-consistency. The human brain develops accurate sensory-motor coordination in the face of many unforeseen changes in the dimensions of the body, strength of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fab0ab0f770d2a1d5975366b3668e3b4
https://doi.org/10.1016/b978-0-12-741251-1.50022-9
https://doi.org/10.1016/b978-0-12-741251-1.50022-9
Autor:
Dore Perler, Nicole von Staden, Sandra Buschau, Tom Colatosti, Richard Norton, Naeem Zafar, Chantal Eshghipour, Frank Chen, Roy Luna, Michael Kuperstein, Elizabeth Marshall, Phil Gioia, Bill Spence, Michael P. Jones, Ron McClure, Walter Hamilton, Kurt Kyvik, Yona Flink
Publikováno v:
Biometric Technology Today. 8:6-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f14cece81531ec19c83f41de567f18de
https://doi.org/10.1016/s0969-4765(00)08012-7
https://doi.org/10.1016/s0969-4765(00)08012-7
Autor:
Michael Kuperstein
Publikováno v:
Expert Systems with Applications. 1:V
A neural-like network system that adaptively controls a visually guided, two-jointed robot arm to reach spot targets in three dimensions. The system learns and maintains visual-motor calibrations by itself, starting with only loosely defined relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d16ecb8c54650221593f6115d19d7fe7
https://doi.org/10.1016/0957-4174(90)90014-l
https://doi.org/10.1016/0957-4174(90)90014-l