Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Aleš Leonardis"'
Publikováno v:
Sensors, Vol 20, Iss 17, p 4668 (2020)
This work examines the differences between a human and a machine in object recognition tasks. The machine is useful as much as the output classification labels are correct and match the dataset-provided labels. However, very often a discrepancy occur
Externí odkaz:
https://doaj.org/article/2c4ffc3c2ca546d6b53a6b3cdcd62009
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 178 (2019)
This paper presents a model capable of learning the rhythmic characteristics of a music signal through unsupervised learning. The model learns a multi-layer hierarchy of rhythmic patterns ranging from simple structures on lower layers to more complex
Externí odkaz:
https://doaj.org/article/50aa316181414f7492dcba4cc06f120b
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169411 (2017)
The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation
Externí odkaz:
https://doaj.org/article/41d1b48c751c408e9d27b9171f0a63fd
Publikováno v:
Applied Sciences, Vol 7, Iss 11, p 1135 (2017)
This paper presents a compositional hierarchical model for pattern discovery in symbolic music. The model can be regarded as a deep architecture with a transparent structure. It can learn a set of repeated patterns within individual works or larger c
Externí odkaz:
https://doaj.org/article/fac6d84575ef464793af51649cef6dca
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
Continuous learning of object affordances in a cognitive robot is a challenging problem, the solution to which arguably requires a developmental approach. In this paper, we describe scenarios where robotic systems interact with household objects by p
Externí odkaz:
https://doaj.org/article/9381e727f82040638fdc7aa8cec17af7
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
For successful operation in real-world environments, a mobile robot requires an effective spatial model. The model should be compact, should possess large expressive power and should scale well with respect to the number of modelled categories. In th
Externí odkaz:
https://doaj.org/article/bb0814ddeaf84e5cbd644a1d392225e8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aea9963672683f4ea2a926fa09c2f27
https://doi.org/10.1007/978-3-031-25085-9_7
https://doi.org/10.1007/978-3-031-25085-9_7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f364bf67878fa1f37c3fe0c5c386243
https://doi.org/10.1007/978-3-031-25085-9_27
https://doi.org/10.1007/978-3-031-25085-9_27
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307d82442ae69b9396080d5d804622f3
https://doi.org/10.1007/978-3-031-19812-0_35
https://doi.org/10.1007/978-3-031-19812-0_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8275ad8b4e232793421cff1e752cda
https://doi.org/10.1007/978-3-031-20047-2_7
https://doi.org/10.1007/978-3-031-20047-2_7