نتایج جستجو برای: wise method
تعداد نتایج: 1649179 فیلتر نتایج به سال:
This paper presents an efficient algorithm to sample free path in inhomogeneous participating media. The method is based on the concept of mixing “virtual” particles to the medium, that complete the extinction coefficient to a piece-wise constant function. We use the sampling formulae developed for piece-wise homogeneous medium, but decide randomly whether a real or a virtual particle is hit.
We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality. We formulate the problem as matching between a set of pair-wise and point-wise descriptors, imposing a continuity prior on the mapping, and propose a projected descent optimization procedure inspired by difference of convex functions (DC) programming.
BACKGROUND Gigantomastia is a rare condition characterized by excessive breast growth and can be physically and psychosocially disabling for the patient. Regarding management of gigantomastia, this study evaluates the outcomes of superomedial pedicle with vertical scar or wise pattern skin excision. METHODS A total of 425 patients who underwent reduction mammoplasty in our institution ...
In this paper, we report a robust, efficient, and automatic method for matching infrared tracked markers for human motion analysis in computer-aided physical therapy applications. The challenges of this task stem from non-rigid marker motion, occlusion, and timing requirements. To overcome these difficulties, we use pair-wise distance constraints for marker identification. To meet the timing re...
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling consistency regularization via strong data augmentation. enable the application FixMatch in problems beyond image classification by adding matching operation on pseudo-labels. This allows us to still use full strength augmentation pipelines, including...
A clustering algorithm for speaker identification based on neural networks is described. This technique is modeled after a previously developed technique in which an N-way speaker identification task is partitioned into N*(N-1)/2 two-way classification tasks. Each two-way classification task is performed using a small size neural network which is a two-way, or pair-wise, network. The decisions ...
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