Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Markus Flierl"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18058-18069 (2024)
Infrared object detection is one of the critical technologies for maritime search and rescue. However, it is still challenging due to the strong background clutter interference and the lack of small object information. We proposed a temporal-spatial
Externí odkaz:
https://doaj.org/article/426c9d68229f4b55b09f4f234a957035
Autor:
Hanwei Wu, Markus Flierl
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Autoencoders and their variations provide unsupervised models for learning low-dimensional representations for downstream tasks. Without proper regularization, autoencoder models are susceptible to the overfitting problem and the so-called posterior
Publikováno v:
ICAIF
We present a representation learning framework for financial time series forecasting. One challenge of using deep learning models for finance forecasting is the shortage of available training data when using small datasets. Direct trend classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6a700a39fc62ffd4906654ab5c36f69
Autor:
Du Liu, Markus Flierl
Publikováno v:
IEEE Signal Processing Letters. 25:10-14
In classic data compression, the optimal transform for energy compaction is the Karhunen–Loeve transform with the eigenvectors of the covariance matrix. In coding applications, neither the covariance matrix nor the eigenvectors can be easily transm
Publikováno v:
IEEE Transactions on Multimedia. 19:2238-2251
Motivated by emerging vision-based intelligent services, we consider the problem of rate adaptation for high-quality and low-delay visual information delivery over wireless networks using scalable video coding. Rate adaptation in this setting is inhe
Autor:
Du Liu, Markus Flierl
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Fractional-pel accurate motion is widely used in video coding. For subband coding, fractional-pel accuracy is challenging since it is difficult to handle the complex motion field with temporal transforms. In our previous work, we designed integer acc
Publikováno v:
GlobalSIP
The task of similarity identification is to identify items in a database which are similar to a given query item for a given metric. The identification rate of a compression scheme characterizes the minimum rate that can be achieved which guarantees
Publikováno v:
ACSSC
Among many current data processing systems, the objectives are often not the reproduction of data, but to compute some answers based on the data responding to some queries. The similarity identification task is to identify the items in a database whi
Autor:
Hanwei Wu, Markus Flierl
Publikováno v:
DCC
This paper considers the problem of compression for similarity identification. Unlike classic compression problems, the focus is not on reconstructing the original data. Instead, compression is determined by the reliability of answering given queries
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 9:435-448
An inference-based multiview depth image enhancement algorithm is introduced and investigated in this paper. Multiview depth imagery plays a pivotal role in free-viewpoint television. This technology requires high-quality virtual view synthesis to en