Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Bernd Schoner"'
Autor:
Bernd Schoner
Most technology startups never make it to the funding stage, and only a small percentage of those that are venture-backed generate a positive return for their investors. An even smaller number of startup founders enjoy a truly prosperous exit. Bernd
Publikováno v:
Neurocomputing. 31:153-165
We treat magnetoencephalographic (MEG) data in a signal detection framework to discriminate between different phonemes heard by a test subject. Our data set consists of responses evoked by the voiced syllables /bae and /dae/ and the corresponding voi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c94e854dbaae5b8b5a81d66a651a11
https://doi.org/10.1016/s0925-2312(99)00178-2
https://doi.org/10.1016/s0925-2312(99)00178-2
Autor:
Neil Gershenfeld, Bernd Schoner, M. Hancher, Yael Gregory Maguire, Olufemi Omojola, E. Rehmi Post, Richard Fletcher, Ravikanth Pappu, P. R. Russo
Publikováno v:
IBM Systems Journal. 39:861-879
We report on a project that explored emerging technologies for intuitive and unobtrusive information interfaces in a compelling setting. An installation at the Museum of Modern Art, New York, was part of a public exhibit and included an interactive t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fa1776303fa0f76fd71e2be768aaa45
https://doi.org/10.1147/sj.393.0861
https://doi.org/10.1147/sj.393.0861
Publikováno v:
Journal of New Music Research. 28:81-89
We present a framework for the analysis and synthesis of acoustical instruments based on data-driven probabilistic inference modeling. Audio time series and boundary conditions of a played instrument are recorded and the non-linear mapping from the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15319812b38fceae521cd666e6ab1d93
https://doi.org/10.1076/jnmr.28.2.81.3116
https://doi.org/10.1076/jnmr.28.2.81.3116
Publikováno v:
Nature. 397:329-332
The need to characterize and forecast time series recurs throughout the sciences, but the complexity of the real world is poorly described by the traditional techniques of linear time-series analysis. Although newer methods can provide remarkable ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c791e7d8c6c490daca6cbd675bbf19ec
https://doi.org/10.1038/16873
https://doi.org/10.1038/16873
Autor:
Bernd Schoner, Morwaread Farbood
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642023934
This paper presents a method that determines the relevance of a set of signals (musical features) given listener judgments of music in an experimental setting. Rather than using linear correlation methods, we allow for nonlinear relationships and mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::050d77c5e6328a13cd62c1535fcfeb0a
https://doi.org/10.1007/978-3-642-02394-1_11
https://doi.org/10.1007/978-3-642-02394-1_11
Publikováno v:
SIGGRAPH
A multi-user, polyphonic sensor stage environment that maps position and gestures of up to four performers to the pitch and articulation of distinct notes is presented. The design seeks to provide multiple players on a stage with the feeling of a tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25bff565195bfe3bfdacf7b3756330c
https://doi.org/10.1145/383259.383324
https://doi.org/10.1145/383259.383324
Autor:
Bernd Schoner, Neil Gershenfeld
Publikováno v:
Nonlinear Dynamics and Statistics ISBN: 9781461266488
Cluster-weighted modeling, a mixture density estimator around local models, is presented as a framework for the analysis, prediction and characterization of non-linear time series. First architecture, model estimation and characterization formalisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dc5c9e34fc077032b41dc681a1327c5
https://doi.org/10.1007/978-1-4612-0177-9_15
https://doi.org/10.1007/978-1-4612-0177-9_15
Autor:
Bernd Schoner, Neil Gershenfeld
Publikováno v:
53rd ARFTG Conference Digest.
We present an inference-based algorithm for modeling complex non-linear systems, that integrates current approaches to modeling of microwave devices within a generalized framework. Familiar techniques for characterizing linear and non-linear systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3fa10dc72e645438a8273b3638cac6d
https://doi.org/10.1109/arftg.1999.327337
https://doi.org/10.1109/arftg.1999.327337
Publikováno v:
The Journal of the Acoustical Society of America. 105:1328-1328
Comprehensive digital analysis and synthesis of musical instruments using direct observations of their physical behavior have been developed and implemented for the violin. In a training session, control input data from unobtrusive bow and finger sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93cdcc4d33333423f5b882d86e6eb5d
https://doi.org/10.1121/1.426214
https://doi.org/10.1121/1.426214