Retrieval Based Cartoon Synthesis via Heterogeneous Features Learning

2011 ◽  
Author(s):  
Zhang Liang ◽  
Jun Xiao ◽  
Hong Pan
Keyword(s):  
Heterogeneous Features

Prediction of Gene Co-Expression by Quantifying Heterogeneous Features

2015 ◽  
Vol 10 (4) ◽  
pp. 414-424 ◽  
Author(s):  
Abbasali Emamjomeh ◽  
Bahram Goliaei ◽  
Javad Zahiri ◽  
Reza Ebrahimpour
Keyword(s):  
Heterogeneous Features

Study on Prediction Model of Karstic Large Spring Water Level Dynamic Coupling Multiple Factors in Jinan

2015 ◽  
Vol 8 (1) ◽  
pp. 309-317 ◽  
Author(s):  
Xing Liting ◽  
Zhou Juan ◽  
Zhang Fengjuan ◽  
Wang Song ◽  
Dou Tongwen ◽  
...  
Keyword(s):  
Prediction Model ◽  
Water Level ◽  
Spring Water ◽  
Anthropogenic Factors ◽  
Karst Water ◽  
Multiple Factors ◽  
Factors Influencing ◽  
Heterogeneous Features ◽  
Dry Seasons ◽  
Natural Decay

In karst regions, due to the heterogeneous features of karst medium, the characteristics of the groundwater flow turn to be of high complexity. Researchers have been seeking proper forecasting methods for karst water dynamic for many years. This paper, taking the spring in Jinan as an example, using regression analysis, analyzed the factors influencing spring water dynamic, and quantitatively evaluated the influencing coefficients of spring water level concerning rainfall, exploitation and recharge as well as the natural decay coefficient of spring water in dry seasons. The prediction model coupling multiple factors was built by investigating natural and anthropogenic factors influencing groundwater level, which could be used for forecasting dynamic of spring water in Jinan. The calculated value of model was highly coincided with the observed value. In consideration of the characteristics of uneven precipitation in Jinan, the suitable zones and volume of artificial recharge were investigated finally, which could help to sustain the spewing of Jinan springs significantly.

Polymorphic Measurement Method of FeO Content of Sinter Based on Heterogeneous Features of Infrared Thermal Images

2021 ◽  
pp. 1-1
Author(s):  
Zhaohui Jiang ◽  
Yuhao Guo ◽  
Dong Pan ◽  
Weihua Gui ◽  
Xavier Maldague
Keyword(s):  
Measurement Method ◽  
Thermal Images ◽  
Heterogeneous Features ◽  
Infrared Thermal Images

A deep metric learning approach for weakly supervised loan default prediction1

2021 ◽  
pp. 1-13
Author(s):  
Kai Zhuang ◽  
Sen Wu ◽  
Xiaonan Gao
Keyword(s):  
Default Risk ◽  
Metric Learning ◽  
Real Life ◽  
Risk Scores ◽  
Loan Default ◽  
Default Prediction ◽  
Heterogeneous Features ◽  
Deep Metric Learning ◽  
Weakly Supervised ◽  
Decision Boundaries

To deal with the systematic risk of financial institutions and the rapid increasing of loan applications, it is becoming extremely important to automatically predict the default probability of a loan. However, this task is non-trivial due to the insufficient default samples, hard decision boundaries and numerous heterogeneous features. To the best of our knowledge, existing related researches fail in handling these three difficulties simultaneously. In this paper, we propose a weakly supervised loan default prediction model WEAKLOAN that systematically solves all these challenges based on deep metric learning. WEAKLOAN is composed of three key modules which are used for encoding loan features, learning evaluation metrics and calculating default risk scores. By doing so, WEAKLOAN can not only extract the features of a loan itself, but also model the hidden relationships in loan pairs. Extensive experiments on real-life datasets show that WEAKLOAN significantly outperforms all compared baselines even though the default loans for training are limited.

scholarly journals Identification of D Modification Sites by Integrating Heterogeneous Features in Saccharomyces cerevisiae

Molecules ◽  
2019 ◽  
Vol 24 (3) ◽  
pp. 380 ◽  
Author(s):  
Pengmian Feng ◽  
Zhaochun Xu ◽  
Hui Yang ◽  
Hao Lv ◽  
Hui Ding ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Ensemble Classifier ◽  
Transfer Rna ◽  
Test Results ◽  
Accurate Identification ◽  
Jackknife Test ◽  
Heterogeneous Features ◽  
Novel Methods

As an abundant post-transcriptional modification, dihydrouridine (D) has been found in transfer RNA (tRNA) from bacteria, eukaryotes, and archaea. Nonetheless, knowledge of the exact biochemical roles of dihydrouridine in mediating tRNA function is still limited. Accurate identification of the position of D sites is essential for understanding their functions. Therefore, it is desirable to develop novel methods to identify D sites. In this study, an ensemble classifier was proposed for the detection of D modification sites in the Saccharomyces cerevisiae transcriptome by using heterogeneous features. The jackknife test results demonstrate that the proposed predictor is promising for the identification of D modification sites. It is anticipated that the proposed method can be widely used for identifying D modification sites in tRNA.

scholarly journals Fibrosis is regulated by Th2 and Th17 responses and by dynamic interactions between fibroblasts and macrophages

2011 ◽  
Vol 300 (5) ◽  
pp. G723-G728 ◽  
Author(s):  
Luke Barron ◽  
Thomas A. Wynn
Keyword(s):  
Wound Healing ◽  
T Cells ◽  
Cd4 T Cells ◽  
Organ Function ◽  
Dynamic Interactions ◽  
Negative Feedback Loops ◽  
Th2 Cytokine ◽  
Heterogeneous Features ◽  
Fibrotic Diseases ◽  
Clinical Conditions

Dysregulated wound healing leads to fibrosis, whereby fibroblasts synthesize excess extracellular matrix and scarring impairs proper organ function. Although fibrotic diseases arise from diverse causes and display heterogeneous features, fibrosis commonly associates with chronic inflammation. Recent discoveries reinforce the idea that communication between fibroblasts, macrophages, and CD4 T cells integrates the processes of wound healing and host defense. Signals between macrophages and fibroblasts can exacerbate, suppress, or reverse fibrosis. Fibroblasts and macrophages are activated by T cells, but their activation also engages negative feedback loops that reduce fibrosis by restraining the immune response, particularly when the Th2 cytokine IL-13 contributes to pathology. Thus the interactions among fibroblasts, macrophages, and CD4 T cells likely play general and critical roles in initiating, perpetuating, and resolving fibrosis in both experimental and clinical conditions.

Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming

2009 ◽  
Author(s):  
Shijun Wang ◽  
Jianhua Yao ◽  
Nicholas A. Petrick ◽  
Ronald M. Summers
Keyword(s):  
Colonic Polyp ◽  
Polyp Detection ◽  
Heterogeneous Features ◽  
Colonic Polyp Detection
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