热烈的欢迎 发表于 2025-3-30 12:12:18
The Secret of Protein Sophistication,-similarity structures, nonaccidental alignment, and instance-specific modelling. The method searches for self-similar image structures that form nonaccidental patterns, for example collinear arrangements. We demonstrate a simple implementation of this idea where self-similar structures are found by沙漠 发表于 2025-3-30 15:05:30
Sergei Kurgalin,Sergei Borzunovnatural three dimensional environments, it is important to study whether and how depth information influences visual saliency. In this work, we first collect a large human eye fixation database compiled from a pool of 600 2D-vs-3D image pairs viewed by 80 subjects, where the depth information is diresoteric 发表于 2025-3-30 19:41:51
Sergei Kurgalin,Sergei Borzunovin images (see, e.g., ). We systematically integrate and evaluate quaternion DCT- and FFT-based spectral saliency detection , weighted quaternion color space components , and the use of multiple resolutions . Furthermore, we propose the use of the eigenaxes and eigenangles for spectrSerenity 发表于 2025-3-30 23:16:01
http://reply.papertrans.cn/24/2342/234160/234160_54.pngArctic 发表于 2025-3-31 04:45:55
http://reply.papertrans.cn/24/2342/234160/234160_55.png类人猿 发表于 2025-3-31 06:06:44
http://reply.papertrans.cn/24/2342/234160/234160_56.png套索 发表于 2025-3-31 12:24:48
http://reply.papertrans.cn/24/2342/234160/234160_57.png思想流动 发表于 2025-3-31 13:41:44
The Disentanglement of Populationse well-known Integral Histogram (IH), our approach significantly outperforms it, both in terms of memory requirements and of response times. By preprocessing the region of interest (ROI) computing and storing a temporary histogram for each of its pixels, IH is effective only when a large amount of h食草 发表于 2025-3-31 17:49:24
http://reply.papertrans.cn/24/2342/234160/234160_59.png有帮助 发表于 2025-3-31 23:08:48
https://doi.org/10.1057/9780230297685paper tackles the problem of sparse coding and dictionary learning in the space of symmetric positive definite matrices, which form a Riemannian manifold. With the aid of the recently introduced Stein kernel (related to a symmetric version of Bregman matrix divergence), we propose to perform sparse