Semi-supervised learning for shale image segmentation with fast normalized cut loss 分割计算机科学人工智能卷积神经网络网(多面体)监督学习模式识别(心理学)深度学习半监督学习像素人工神经网络过程(计算)市场细分图像分割图像(数学)机器学习数学几何学营销业务操作系统...
Mean shiftNormalized cutImage segmentationRetinaHard exudatesAs diabetic retinopathy (DR) is one of the main causes of loss of vision among diabetic patients, an early detection using automated detection techniques can prevent blindness among diabetic patients. Hard exudates constitute one of the early ...
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut Yangtao Wang1, Xi Shen2,3,* , Shell Xu Hu4, Yuan Yuan5, James L. Crowley1, Dominique Vaufreydaz1 1 Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France ...
For single-mode fibers, that fraction is low for low V values (e.g. below 1), and reaches ≈ 90% near the single-mode cut-off at V≈ 2.405. There is also the so-called Marcuse equation for estimating the mode radius of a step-index fiber from the V number; see the article on ...
M—by taking a hypercube containing all the data points,with some lee-way so that the hypercube contains M with high probability when the sample gets large—and then rescale and translate the points so that M is within the unit hypercube. So this assumption is really without loss of ...
The potential application of the normalized two-stage VI PLS-DA approach facilitates loss assessment for the agricultural insurance industry by examining spatial damage information caused by diseases. This includes the identification of suspected areas and deploying experts to direct prevention operations. ...
We compared TCW and NDMI from three aspects: (1) forest disturbance by type (hardwood versus softwood); (2) forest disturbance intensity (clear cut versus partial cut); and (3) Landsat acquisition interval effect on detecting forest disturbances by type and intensity class. The study site is ...
Kayal, D., Banerjee, S.: An approach to detect hard exudates using normalized cut image segmentation technique in digital retinal fundus image. Adv. Intell. Soft Comput. 166 AISC. 1 , 123–128 (2012)D. Kayal, S. Banerjee, "An Approach to Detect Hard Exudates Using Normalized Cut Image...
Kayal, D., Banerjee, S.: An approach to detect hard exudates using normalized cut image segmentation technique in digital retinal fundus image. Adv. Intell. Soft Comput. 166 AISC. 1 , 123–128 (2012)D. Kayal, S. Banerjee, "An Approach to Detect Hard Exudates Using Normalized Cut Image...
At each sampling point, pasture was cut at 1 to 2 cm above ground level and collected. It was then (i) weighted immediately to obtain fresh mass; (ii) dehydrated (72 h at 65 °C); and (iii) weighted again, in order to obtain pasture biomass production (kg·ha−1) and pasture ...