Zobrazeno 1 - 10
of 407
pro vyhledávání: '"Benediktsson, Jón Atli"'
Autor:
Yao, Mufeng, Peng, Jinlong, He, Qingdong, Peng, Bo, Chen, Hao, Chi, Mingmin, Liu, Chao, Benediktsson, Jon Atli
Multiple object tracking (MOT) from unmanned aerial vehicle (UAV) platforms requires efficient motion modeling. This is because UAV-MOT faces both local object motion and global camera motion. Motion blur also increases the difficulty of detecting la
Externí odkaz:
http://arxiv.org/abs/2407.10485
Autor:
Senthilnath, J., Bhattiprolu, Adithya, Singh, Ankur, Zhou, Bangjian, Wu, Min, Benediktsson, Jón Atli, Li, Xiaoli
A novel online clustering algorithm is presented where an Evolving Restricted Boltzmann Machine (ERBM) is embedded with a Kohonen Network called ERBM-KNet. The proposed ERBM-KNet efficiently handles streaming data in a single-pass mode using the ERBM
Externí odkaz:
http://arxiv.org/abs/2402.09167
Autor:
Hong, Danfeng, Zhang, Bing, Li, Xuyang, Li, Yuxuan, Li, Chenyu, Yao, Jing, Yokoya, Naoto, Li, Hao, Ghamisi, Pedram, Jia, Xiuping, Plaza, Antonio, Gamba, Paolo, Benediktsson, Jon Atli, Chanussot, Jocelyn
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner. While most foundation models are tailored to effectively process RGB image
Externí odkaz:
http://arxiv.org/abs/2311.07113
Autor:
Senthilnath, J., G, Nagaraj, C, Sumanth Simha, Kulkarni, Sushant, Thapa, Meenakumari, M, Indiramma, Benediktsson, Jón Atli
A Bayesian Deep Restricted Boltzmann-Kohonen architecture for data clustering termed as DRBM-ClustNet is proposed. This core-clustering engine consists of a Deep Restricted Boltzmann Machine (DRBM) for processing unlabeled data by creating new featur
Externí odkaz:
http://arxiv.org/abs/2205.06697
Autor:
Li, Chenyu, Hong, Danfeng, Zhang, Bing, Liao, Tianjun, Yokoya, Naoto, Ghamisi, Pedram, Chen, Min, Wang, Lizhe, Benediktsson, Jon Atli, Chanussot, Jocelyn
Publikováno v:
In The Innovation 9 September 2024 5(5)
Autor:
Song, Weiwei, Gao, Zhi, Dian, Renwei, Ghamisi, Pedram, Zhang, Yongjun, Benediktsson, Jón Atli
Remote sensing image retrieval (RSIR), aiming at searching for a set of similar items to a given query image, is a very important task in remote sensing applications. Deep hashing learning as the current mainstream method has achieved satisfactory re
Externí odkaz:
http://arxiv.org/abs/2201.05772
Autor:
Rasti, Behnood, Hong, Danfeng, Hang, Renlong, Ghamisi, Pedram, Kang, Xudong, Chanussot, Jocelyn, Benediktsson, Jon Atli
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine, 2020
Hyperspectral images provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands) with continuous spectral information that can accurately classify diverse materials of interest. The inc
Externí odkaz:
http://arxiv.org/abs/2003.02822
Autor:
Yang, Chen, Zhao, Haishi, Bruzzone, Lorenzo, Benediktsson, Jon Atli, Liang, Yanchun, Liu, Bin, Zeng, Xingguo, Guan, Renchu, Li, Chunlai, Ouyang, Ziyuan
Publikováno v:
Nat Commun 11, 6358 (2020)
Impact craters, as "lunar fossils", are the most dominant lunar surface features and occupy most of the Moon's surface. Their formation and evolution record the history of the Solar System. Sixty years of triumphs in the lunar exploration projects ac
Externí odkaz:
http://arxiv.org/abs/1912.01240
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