32 Result(s)
-
Chapter and Conference Paper
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the ...
-
Chapter and Conference Paper
Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction
Storm prediction provides the early alert for preparation, avoiding potential damage to property and human safety. However, a traditional storm prediction model usually incurs excessive computational overhead ...
-
Chapter and Conference Paper
Predicting Hospital Admission by Adding Chief Complaints Using Machine Learning Approach
Overcrowded conditions in emergency departments (EDs) have increased patients’ waiting time, while the variety of patient afflictions has caused difficulties in the allocation of medical resources. Therefore, ...
-
Chapter and Conference Paper
Precise Weather Parameter Predictions for Target Regions via Neural Networks
Flexible fine-grained weather forecasting is a problem of national importance due to its stark impacts on economic development and human livelihoods. It remains challenging for such forecasting, given the limi...
-
Chapter and Conference Paper
Automatic Parameter Setting in Hough Circle Transform
The Hough circle transform has been widely used in pattern recognition to find circles in images. It, however, has many parameters to be adjusted before usage. This study focuses on the analysis of the circula...
-
Chapter and Conference Paper
Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems
In this paper, we conduct a systematic study for the very first time on the poisoning attack to neural collaborative filtering-based recommender systems, exploring both availability and target attacks with the...
-
Chapter and Conference Paper
A Novel Biologically Inspired Hierarchical Model for Image Recommendation
The biologically inspired model (BIM) for invariant feature representation has attracted widespread attention recently, which approximately follows the organization of cortex visuel. BIM is a computational arc...
-
Chapter and Conference Paper
An Accurate Brainwave-Based Emotion Clustering for Learning Evaluation
The purpose of this study is to help teachers understand their students’ learning situation. Especially in engineering education, Project-based Learning (PBL) is employed to promote self-learning by training t...
-
Chapter and Conference Paper
The Visual Object Tracking VOT2016 Challenge Results
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a l...
-
Chapter and Conference Paper
Rule-based Medical Decision Support Portal for the Emergency Department
Hospital Emergency Department (ED) crowding has led to an increase in patients’ waiting times; thus, solving this problem requires a better understanding of a hospital’s patient flow and the behaviors of patie...
-
Chapter and Conference Paper
Phrase Tagset Map** for French and English Treebanks and Its Application in Machine Translation Evaluation
Many treebanks have been developed in recent years for different languages. But these treebanks usually employ different syntactic tag sets. This forms an obstacle for other researchers to take full advantages...
-
Chapter and Conference Paper
A Study of Chinese Word Segmentation Based on the Characteristics of Chinese
This paper introduces the research on Chinese word segmentation (CWS). The word segmentation of Chinese expressions is difficult due to the fact that there is no word boundary in Chinese expressions and that t...
-
Chapter and Conference Paper
Adaptive Sequential Prefetching for Multiple Streams
Modern storage systems are becoming increasingly consolidated. As a result, there exists a competition for resources among concurrent streams. Sequential prefetching is widely used in modern storage system. Mo...
-
Chapter and Conference Paper
A Visual Dataflow Model for the Process Flow of Remote Sensing Products
In order to conveniently and rapidly develop algorithms for remote sensing products, the basic idea is using some existing algorithms to develop a new algorithm. Due to the algorithm dependency, the algorithms...
-
Chapter and Conference Paper
Applying a BP Neural Network Model to Predict the Length of Hospital Stay
Length of hospital stay (LOS) is closely related to the control of medical costs and the management of hospital resources. In this study, we implemented a data mining approach based on Back-Propagation (BP) ne...
-
Chapter and Conference Paper
High Capacity Lossless VQ Hiding with Grou** Strategy
This paper proposes a reversible data hiding technique on Vector Quantization (VQ) encoding. Our scheme increases the embedding capacity of secret messages by increasing the embeddable index values. First, we ...
-
Chapter and Conference Paper
Face Recognition Using Nonlinear Partial Least Squares in Reproducing Kernel Hilbert Space
Dimensionality reduction is an important step for face recognition. A novel feature extraction method using nonlinear partial least squares discrimination (NPLSD) for facial images is proposed in this paper. T...
-
Chapter and Conference Paper
Source Localization for Uniform Noise Maximum Likelihood Estimation Method and Iterative Algorithm Based on AOA
maximum likelihood estimation(MLE) method and iterative algorithm based on Uniform noise ,which is the same for every sensor in the network, for localizing a source based on angle of arrival (AOA) measurements...
-
Chapter and Conference Paper
A Location Discovery Based on Directionality for WSNs
In this paper, a range-free localization scheme for wireless sensor networks (WSNs) is proposed using beacon nodes(BNs) equipped with one directional antenna of special transmission capabilities for sending wi...
-
Chapter and Conference Paper
An Extensible Situation-Aware Caring System for Real-World Smart Wards
Context-aware caring system is capable of effectively improving quality of health care in hospitals. Most of current context-aware health care systems adopt only simple context information, which only provide ...
