CODA 发表于 2025-3-30 11:10:56
https://doi.org/10.1057/9780230373334y on minimizing objective functions to enforce color homogeneity. The optimization is accomplished by sophisticated methods that progressively build the superpixels, typically by adding cuts or growing superpixels. As a result, they are computationally too expensive for real-time applications. We inHyperopia 发表于 2025-3-30 12:40:20
http://reply.papertrans.cn/24/2342/234157/234157_52.pngrecession 发表于 2025-3-30 19:10:00
http://reply.papertrans.cn/24/2342/234157/234157_53.pngvitreous-humor 发表于 2025-3-30 23:22:29
Emergence of the Modern Framework, 1850–1913class labels. We learn a model that can classify unseen test videos, as well as localize a region of interest in the video that captures the discriminative essence of the action class. A novel Similarity Constrained Latent Support Vector Machine model is developed to operationalize this goal. This m浪荡子 发表于 2025-3-31 02:04:34
http://reply.papertrans.cn/24/2342/234157/234157_55.pngOffbeat 发表于 2025-3-31 05:12:26
G. A. Fletcher B.A., M.Sc. (Econ.) challenging Hollywood2 benchmark . These algorithms are based on local spatiotemporal descriptors that can be extracted either sparsely (at interest points) or densely (on regular grids), with dense sampling typically leading to the best performance . Here, we investigate the benefit of s咒语 发表于 2025-3-31 12:40:58
http://reply.papertrans.cn/24/2342/234157/234157_57.pngcochlea 发表于 2025-3-31 14:09:40
The Mechanism of Monetary Controlrt denoising methods are visually clearly distinguishable and possess complementary strengths and failure modes. Motivated by this observation, we introduce a powerful non-parametric image restoration framework based on Regression Tree Fields (RTF). Our restoration model is a densely-connected tractOFF 发表于 2025-3-31 20:16:02
http://reply.papertrans.cn/24/2342/234157/234157_59.pngJADED 发表于 2025-4-1 01:39:01
https://doi.org/10.1057/9780230372054 approach is not based on a sampling strategy, instead we combine the polynomial chaos expansion and stochastic finite elements with PDE-based image processing operators. With our approach and a moderate number of parameters in the models the full sensitivity analysis is obtained at the cost of a fe