陶醉 发表于 2025-3-26 21:14:09

Conclusion and Future Outlookmodel . in the input data, can substantially outperform finite-dimensional covariance matrices, which only model . in the input. This performance gain comes at higher computational costs and we showed how to substantially decrease these costs via approximation methods.

Tidious 发表于 2025-3-27 01:58:25

measures between images can then be chosen to be distances/divergences between the corresponding covariance matrices, or equivalently, distances/divergences between the corresponding multivariate Gaussian probability distributions, which will be presented in Chapter 2.

Cumbersome 发表于 2025-3-27 05:57:04

Data Representation by Covariance Matrices measures between images can then be chosen to be distances/divergences between the corresponding covariance matrices, or equivalently, distances/divergences between the corresponding multivariate Gaussian probability distributions, which will be presented in Chapter 2.

Musculoskeletal 发表于 2025-3-27 10:13:43

2153-1056 computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications...In this book, we begin by presenting an overview of the {it finite-dimensional covariance matrix} representation approach of images, along

Defense 发表于 2025-3-27 17:20:40

Book 2018ision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical applications...In this book, we begin by presenting an overview of the {it finite-dimensional covariance matrix} representation approach of images, along with its s

AXIS 发表于 2025-3-27 19:21:29

Kernel Methods on Covariance Operatorsrnel machine with the Log-Euclidean distance and inner product presented in Chapter 3 can be viewed as a special case of this framework, with the kernel in the first layer being the linear kernel. Along with kernels defined using the exact Log-Hilbert-Schmidt distance, we present kernels defined usi

文件夹 发表于 2025-3-27 22:26:17

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LEVY 发表于 2025-3-28 05:06:27

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安装 发表于 2025-3-28 08:22:32

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Accessible 发表于 2025-3-28 12:04:31

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查看完整版本: Titlebook: Covariances in Computer Vision and Machine Learning; Hà Quang Minh,Vittorio Murino Book 2018 Springer Nature Switzerland AG 2018