Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Keren Yu"'
Publikováno v:
Energy Conversion and Economics, Vol 5, Iss 2, Pp 116-131 (2024)
Abstract The increasing penetration of renewable energy and the further coupling of the electricity and carbon markets have hindered the realization of efficient and low‐carbon transformation processes in new power systems. This study addresses the
Externí odkaz:
https://doaj.org/article/629162b8fb914e4f9b50024a3d9c58c5
Different from large-scale platforms such as Taobao and Amazon, CVR modeling in small-scale recommendation scenarios is more challenging due to the severe Data Distribution Fluctuation (DDF) issue. DDF prevents existing CVR models from being effectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0489ec4b5c7e0c6e4a862e9940ba73e
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 15:161-176
In this paper, we describe a systematic approach to the lipreading of whole sentences. A vocabulary of elementary words is considered. Based on the vocabulary, we define a grammar that generates a set of legal sentences. Our lipreading approach is ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25320985dd84684e676c08b68c673bf0
https://doi.org/10.1142/s0218001401000770
https://doi.org/10.1142/s0218001401000770
Publikováno v:
Signal Processing. 77:195-208
This paper describes a novel approach to visual speech recognition. The intensity of each pixel in an image sequence is considered as a function of time. One-dimensional wavelet and Fourier transform is applied to this intensity-versus-time function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d3c3ba5dec0d3cbce87798e8efaf77
https://doi.org/10.1016/s0165-1684(99)00032-8
https://doi.org/10.1016/s0165-1684(99)00032-8
Publikováno v:
Pattern Recognition Letters. 18:1421-1426
In this paper we investigate the potential of classifier combination for lipreading. Totally, three lipreading classifiers are used in our study, which are based on hidden Markov models, time-delay neural networks, and a one-dimensional Fourier trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81eb864dc4d1f195588912623bd491e
https://doi.org/10.1016/s0167-8655(97)00113-x
https://doi.org/10.1016/s0167-8655(97)00113-x
Publikováno v:
The Visual Computer. 12:193-201
We propose a simple and efficient general algorithm for determining both rotational and involutional symmetries of polyhedra. It requiresO(m 2) time and usesO(m) space, wherem is the number of edges of the polyhedron. As this is the lower bound of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbf9f5b130fa9bf34ae9a5a000ae02f0
https://doi.org/10.1007/bf01782322
https://doi.org/10.1007/bf01782322
Publikováno v:
Multiple Classifier Systems ISBN: 9783540677048
Multiple Classifier Systems
Multiple Classifier Systems
In this paper we consider a category of classification tasks, where the classification results are sentences of words subject to a given grammar. The particular nature of grammar-guided sentence recognition makes classifier combination rules known fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aac334a8fc428b31cb6499dec7e50a6
https://doi.org/10.1007/3-540-45014-9_37
https://doi.org/10.1007/3-540-45014-9_37
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540634607
CAIP
CAIP
This paper describes a novel approach to visual speech recognition. The intensity of each pixel in an image sequence is considered as a function of time. One-dimensional Fourier transform is applied to this intensity-versus-time function to model the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4fc41f63f333db1208c1532d80ad5b
https://doi.org/10.1007/3-540-63460-6_152
https://doi.org/10.1007/3-540-63460-6_152
Autor:
Keren Yu, Bernard Achermann, Xiaoyi Jiang, Ernst Günter Schukat-Talamazzini, Horst Bunke, C. Nyffenegger
Publikováno v:
Informatik aktuell ISBN: 9783540602934
DAGM-Symposium
DAGM-Symposium
In diesem Beitrag stellen wir je eine Methode fur die Erkennung von Frontal- und Profilansichten menschlicher Gesichter dar. Die Profilerkennung beruht auf einem Formvergleich, wahrend fur die Frontalansichten Hidden Markov-Modelle (HMMs) verwendet w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85b7ef88cad3d550511df6c2312fe66
https://doi.org/10.1007/978-3-642-79980-8_39
https://doi.org/10.1007/978-3-642-79980-8_39