Two-Stage Model of Memory Trace Formation : We discuss the view that the folding of many, perhaps most, integral membrane proteins can be considered as a two-stage process. In stage I, hydrophobic al... G Buzsaki 被引量: 1200发表: 1989年 Advertising Exposure, Loyalty, and Brand Purchase:...
然而,在这些开放的车辆数据集中也混合了许多模糊、灰色和低空间分辨率的图像,并且这些车辆是那些现有检测模型难以检测到的例子,例如Faster-RCNN、YOLO V3和FCOS。不足的生成方案和较差的方案分类性能导致这些硬例子的检测性能较差。此外,由于遥感场景的高度多样性,如多个场景、质量和规模,在实际的车辆场景中包含了更多的...
Faster-RCNN解决的方法是使用RoI Pooling层, 直接把平移不变性阻断掉. 之前我们说过, RoI pooling的一个作用就是使得不同大小的RoI Feature map通过该层, 转换为相同大小的的特征向量, 保证了后续的输入size相同. 而实际上RoI pooling也能作为保存位置信息的手段, 这点在Faster-RCNN+++(resnet101为base model的...
We propose a two-stage model, Threshold-based Efficient Pairwise Association Approach (TEPAA), to reduce the number of tests needed while maintaining almost identical power to the brute force approach. In the first stage, our method performs the single marker test on all SNPs and selects a ...
In this paper we extend the Moolgavkar-Venzon-Knudson two-stage model into nonhomogeneous cases. The probability generating functions (PGF) of initiated cells and tumors are derived under very general conditions. Using these PGF's we then obtain expected incidence functions of tumor and provide an...
efficiency is evaluated trough chen and zhu (2004) two-stage model applied to the banking industry, circumventing the usual problem inherent in the existence of two approaches (production/intermediation). the main contribution of this study is the incorporation of new variables that reflect, besides...
Human selection has reshaped crop genomes. Here we report an apple genome variation map generated through genome sequencing of 117 diverse accessions. A comprehensive model of apple speciation and domestication along the Silk Road is proposed based on ev
To demonstrate the feasibility of automating UED operation and diagnosing the machine performance in real time, a two-stage machine learning (ML) model based on self-consistent start-to-end simulations has been implemented. This model will not only provide the machine parameters with adequate precisi...
The transient stability assessment(TSA) of power system based on the artificial intelligence and machine learning method has become more popular.This paper proposed a precise pattern recognition method for TSA based on a two-stage parallel hidden Markov model(TS-PHMM).In the first stage,the sensit...
1, where two modification algorithms are submitted to promote the performance of the classification model. One is the GAs, which determines the distribution of the fuzzy sets for each feature variable, and the other is the AGM, which regulates the confidence grade of the principal if–then ...