Results 281 to 290 of about 287,251 (295)

Algorithmic Fusion for More Robust Feature Tracking

International Journal of Computer Vision, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McCane, Brendan, Galvin, Ben, Novins, Kevin   +2 more
openaire   +1 more source

Feature Fusion Using Complex Descriminator

2006
This chapter describes feature fusion techniques using complex discriminator. After the introduction, we first introduce serial and parallel feature fusion strategies. Then, the complex linear projection analysis methods, complex PCA and complex LDA, are developed. Next, some feature preprocessing techniques are given. The symmetry property of parallel
David Zhang, Xiao-Yuan Jing, Jian Yang
openaire   +1 more source

Feature Fusion Techniques

2022
Shekhar Khandelwal, Rik Das
openaire   +1 more source

Feature Fusion Distillation

2022
Chao Tan, Jie Liu
openaire   +1 more source

Boosting Online Feature Transfer via Separable Feature Fusion

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin   +3 more
openaire   +1 more source

Salient features of artificially induced cell fusion

Biochemical Society Transactions, 1986
In early work done more than ten years ago in this laboratory, observations were made which indicated a role for osmotic swelling in chemically induced cell fusion (Ahkong et al., 1973~). At that time it was suggested that: “As we have never observed fusion between the ovalappearing, unswollen erythrocytes, and as every chemical found to induce cell ...
openaire   +2 more sources

Feature Pyramid Fusion Network for Hyperspectral Pansharpening

IEEE Transactions on Neural Networks and Learning Systems
Hyperspectral (HS) pansharpening aims at fusing an observed HS image with a panchromatic (PAN) image, to produce an image with the high spectral resolution of the former and the high spatial resolution of the latter. Most of the existing convolutional neural networks (CNNs)-based pansharpening methods reconstruct the desired high-resolution image from ...
Wenqian Dong, Yihan Yang, Jiahui Qu, Yunsong Li, Yufei Yang, Xiuping Jia   +5 more
openaire   +2 more sources

Feature Fusion

2009
openaire   +1 more source

Feature fusion for music detection

6th European Conference on Speech Communication and Technology, 1999
Eluned S. Parris, Michael J. Carey, Harvey Lloyd-Thomas   +2 more
openaire   +1 more source

Feature Fusion for Pattern Recognition

2015
Information or data fusion is one of the solutions adopted for improving the performance of a pattern recognition system. Information can be gathered either from multiple data sources or through the use of multiple representations generated from a single data source.
openaire   +1 more source