نتایج جستجو برای: local park weighted linear combination
تعداد نتایج: 1437457 فیلتر نتایج به سال:
Face recognition via sparse representation-based classification has received more and more attention in recent years. This approach has achieved state-of-the-art results, which outperforms traditional methods, especially when face image pixels are corrupted or occluded. In this paper, we propose a new weighted sparse representation method called WSRC-MSLBP which utilizes the multi-scale LBP (MS...
In this work, we study the weighted Kirchhoff problem \[ \begin{cases} g\big( \int_{B} (w(x) |\Delta u|^{2}) \, dx \big) [\Delta \Delta u)] = f(x,u) &\textrm{in $B$}, \\ u > 0 \frac{\partial u}{\partial n} &\textrm{on $\partial B$}, \end{cases} \] where $B$ is unit ball of $\mathbb{R}^{4}$, $w(x) \big( \log \frac{e}{|x|} \big)^{\beta}$, singular logarithm weight in Adam's embedding, $g$ a conti...
Abstract. This work presents a patch-based multi-atlas segmentation approach based on non-negative least squares regression. Our approach finds a weighted linear combination of local image patches that best models the target patch, jointly for all considered atlases. The local coe cients are optimised with the constraint of being positive or zero and serve as weights, of the underlying segmenta...
An algorithm for image noise-removal based on local adaptive filtering is proposed in this paper. Three features to use into the local transform-domain filtering are suggested. First, filtering is performed on images corrupted not only by an additive white noise, but also by image-dependent (e.g. film-grain noise) or multiplicative noises. Second, a number of transforms is used instead of the s...
this paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. this estimation method is obtained by implementing ridge regression learning algorithm in the la- grangian dual space. the distance measure for fuzzy numbers that suggested by diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...
Qilian Mountain National Park (QLMNP) is a biodiversity hotspot with great agriculture and tourism resources. With the expansion of human activities, few areas park are experiencing massive landscape transformation, these also highly ecologically sensitive. Nevertheless, there substantial differences in activities natural resources various communities around QLMNP, resulting heterogeneous degra...
Sustainable ecological tourism is the ultimate goal of ecological tourism. To realize the sustainable development of ecological tourism it is a thorny problem. This paper takes the world geological park in Xinwen for evaluation object, according to the sustainable development of ecological tourism evaluation model, using analytic hierarchy process, expert evaluation method, the multi-objective ...
Soil quality assessment is a significant approach for arable land, especially in a coastal region to gain a better understanding of soil productivity and effect of agricultural systems on soil resources. This study aimed to determine the quality of cultivated soil of both urban (Noakhali) and rural areas (Kabirhat and Subarnachar) of Noakhali, Bangladesh. The soil quality was evaluated as soil ...
This paper presents a content-based image retrieval system for aggregation and combination of different image features. Feature aggregation is important technique in general content-based image retrieval systems that employ multiple visual features to characterize image content. We introduced and evaluated linear combination to fuse different features. The most important step in the feature agg...
In industrial practice, the representation of dynamics nonlinear systems by models linking their different operating variables requires an identification procedure to characterize behavior from experimental data. This article proposes a two-shafts gas turbine based on decoupled multi-model approach with genetic algorithm. Hence is determined in form weighted combination linear local state space...
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