SIMILARITY IN SELF-ESTEEM AS A FUNCTION OF DURATION OF MARRIAGE AMONG STUDENT COUPLES 来自 Semantic Scholar 喜欢 0 阅读量: 31 作者:SCHUMM, WALTER R.,FIGLEY, CHARLES R.,FUHS, NANCY N.摘要: The project's goal is to reconceptualize trauma, traumatization, and PTSD in a manner that fits ...
A new approach is introduced to enhance de-noising of magnetic resonance images that exploit the sparseness and self-similarity properties of the images. These methods are based on a three-dimensional moving-window discrete cosine transform hard thresholding and a three-dimensional rotationally invariant...
Self-similarityWe show that simple patch-based models, such as epitomes, can have superior performance to the current state of the art in semantic segmentation and label super-resolution, which uses deep convolutional neural networks. We derive a new training algorithm for epitomes which allows, ...
August, 2022:BEiT-3- a general-purpose multimodal foundation model, which achieves state-of-the-art transfer performance on both vision and vision-language tasks July, 2022:SimLM- Large-scale self-supervised pre-training for similarity matching ...
2). The probability of the predictions is computed by taking the Softmax of the vector similarity between the feature vector zi and the prototype vectors C (Eq. 3).(1)L(zi1,zi2)=l(zi1,qi2)+l(zi2,qi1)(2)l(zi,qi)=-∑kqi(k)logpi(k)(3)wherepi(k)=exp(ziTck/τ)∑k′exp...
Local properties of extended self-similarity in three-dimensional turbulence - art. no. 016304 Using a generalization of extended self-similarity we have studied local scaling properties of incompressible homogeneous isotropic three-dimensional turbulence in a direct numerical simulation. We have found that...
Our experiments on three real-world text datasets show that the proposed approach using binarised Laplacian Eigenmap (LapEig) and linear Support Vector Machine (SVM) outperforms state-of-the-art techniques significantly. 展开 关键词: laplacian eigenmap semantic hashing similarity search support vector...
integrate SS-Attention into the blind-spot network called self-similarity-based blind-spot network (SS-BSN). We conduct the experiments on real-world image denoising tasks. The proposed method quantitatively and qualitatively outperforms state-of-the-art methods in self-supervised denoising on the ...
Based on the weaknesses of contrastive learning using negatives, we introduce a self-supervised soft contrastive learning approach called Similarity Contrastive Estimation (SCE) that contrasts positive pairs with other instances and leverages the push of negatives using the inter-instance similarities. Our...
self‐similarity information learningimage propertyobject recognitionSelf-similarity is an attractive image property that has been successfully applied to object recognition due to its robustness to severe target appearance variations. However, less attention has been paid to explore self-similarity for ...