Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Heping Song"'
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4644 (2024)
Cross-domain person re-identification is a technique for identifying the same individual across different cameras or environments that necessitates the overcoming of challenges posed by scene variations, which is a primary challenge in person re-iden
Externí odkaz:
https://doaj.org/article/fa9ac80489454e10805766c6c4f6a9e9
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 5, Pp 76-84 (2022)
The finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable solution to the optimizati
Externí odkaz:
https://doaj.org/article/3ee46c19b2e54a24afcd488b8fc932e5
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 638 (2024)
Multi-label classification has been extensively researched and utilized for several decades. However, the performance of these methods is highly susceptible to the presence of noisy data samples, resulting in a significant decrease in accuracy when n
Externí odkaz:
https://doaj.org/article/35b6566002714ef2b6a699242196cdfd
Publikováno v:
Sensors, Vol 23, Iss 11, p 5142 (2023)
Deep unrolling networks (DUNs) have emerged as a promising approach for solving compressed sensing (CS) problems due to their superior explainability, speed, and performance compared to classical deep network models. However, the CS performance in te
Externí odkaz:
https://doaj.org/article/d02498e01f6549b3938cd2b3e4754f08
Publikováno v:
IEEE Access, Vol 9, Pp 38386-38395 (2021)
Cosparse analysis model (CAM) provides a new signal processing paradigm for recovering cosparse signals with respect to a given analysis operator from the undersampled linear measurements in the context of emerging theory of compressed sensing (CS).
Externí odkaz:
https://doaj.org/article/72e71962a6964e3c9599da4672937ede
Publikováno v:
IEEE Access, Vol 7, Pp 93847-93857 (2019)
Considering different corpora of speech emotions available both publicly and privately with numerous factors that make them different, the premise of having features of both training and testing samples drawn from the same distribution and the parame
Externí odkaz:
https://doaj.org/article/9a64c454709747a2b6256f1e18ce7090
Publikováno v:
IEEE Access, Vol 7, Pp 72457-72468 (2019)
Dimensional emotion recognition has attracted more and more researchers' attention from various fields including psychology, cognition, and computer science. In this paper, we propose an emotion-embedded visual attention model (EVAM) to learn emotion
Externí odkaz:
https://doaj.org/article/f794975e89b845b5905b8792d7e45e5d
Publikováno v:
Complexity, Vol 2019 (2019)
Recently, collaborative representation-based classification (CRC) and its many variations have been widely applied for various classification tasks in pattern recognition. To further enhance the pattern discrimination of CRC, in this article we propo
Externí odkaz:
https://doaj.org/article/f8a7224c56c8405894e9c3a57909fa62
Publikováno v:
Software: Practice and Experience. 53:1125-1143
Publikováno v:
Information Sciences. 638:118981