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Article
Semi-supervised clustering ensemble based on genetic algorithm model
Clustering ensemble can be regarded as a mathematical optimization problem, and the genetic algorithm has been widely used as a powerful tool for solving such optimization problems. However, the existing resea...
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Article
An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments
Clustering is a hot topic in machine learning. For high dimension data, nonnegative matrix factorization (NMF) is a crucial technology in clustering. However, NMF has some disadvantages. First, NMF clusters da...
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Chapter and Conference Paper
Automatic Detection of Obstructive Sleep Apnea Based on Multimodal Imaging System and Binary Code Alignment
There are many patients with obstructive sleep apnea syndrome, which has caused concern. When it occurs, the nasal airflow disappears, and the breathing action of the chest and abdomen still exists. Therefore,...
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Chapter and Conference Paper
Hidden Human Target Detection Model Inspired by Physiological Signals
The current object detection algorithms will give unsatisfactory performance on the task of detecting hidden human targets. Therefore, in the current work, we propose a physiological signals powered hidden hum...
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Article
A lattice-based searchable encryption scheme with the validity period control of files
In recent years, with the dramatic increase in the use of multimedia data, rapid retrieval and sharing of the multimedia data have become major trends. The validity period control function widely used in daily...
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Chapter and Conference Paper
PMIQD 2019: A Pathological Microscopic Image Quality Database with Nonexpert and Expert Scores
In medical diagnostic analysis, pathological microscopic image is often regarded as a gold standard, and hence the study of pathological microscopic image is of great necessity. High quality microscopic pathol...
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Chapter and Conference Paper
Preliminary Study on Visual Attention Maps of Experts and Nonexperts When Examining Pathological Microscopic Images
Pathological microscopic image is regarded as a gold standard for the diagnosis of disease, and eye tracking technology is considered as a very effective tool for medical education. It will be very interesting...
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Chapter and Conference Paper
Age Estimation via Pose-Invariant 3D Face Alignment Feature in 3 Streams of CNN
This paper proposes an algorithm for age estimation intentionally considering the pose variation and local deformation of faces. Pose-invariant patches are extracted in face region, and they are located from t...
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Chapter and Conference Paper
Person Re-id by Incorporating PCA Loss in CNN
This paper proposes an algorithm, particularly a loss function and its end to end learning manner, for person re-identification task. The main idea is to take full advantage of the labels in a batch during tra...
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Article
City digital pulse: a cloud based heterogeneous data analysis platform
In recent years, increasing attention has been paid to develo** exceptional technologies for efficiently processing massive collection of data. This is essential in the research on smart city, which involves...
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Chapter and Conference Paper
Hyperspectral Image Classification Based on Empirical Mode Decomposition and Local Binary Pattern
Traditional hyperspectral image classification methods always focused on spectral information, and lots of spatial information was neglected. Therefore, this paper introduces the spatial texture information in...
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Chapter and Conference Paper
Research on Quality Improvement of Polarization Imaging in Foggy Conditions
A new method was presented to improve quality of polarization imaging in foggy weather. In this method, two state-of-art algorithms were used to defog three polarization direction images by polarization imagin...
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Chapter and Conference Paper
A Prediction Model Based on Time Series Data in Intelligent Transportation System
Intelligent Transportation System has a new kind of complicated time series data which would be the traffic flow, average speed or some other traffic condition information at the same time period. All above da...
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Chapter and Conference Paper
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this p...
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Chapter and Conference Paper
Efficient Time Series Data Classification and Compression in Distributed Monitoring
As a key issue in distributed monitoring, time series data are a series of values collected in terms of sequential time stamps. Requesting them is one of the most frequent requests in a distributed monitoring ...
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Chapter and Conference Paper
A Robust, Efficient, and Fast Global Motion Estimation Method from MPEG Compressed Video
In the field of content-based visual information, detection of visual features is a significant topic. In order to process video data efficiently, visual features extraction is required. Many of the advanced v...
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Article
Basic Topological Models for Spatial Entities in 3-Dimensional Space
In recent years, models of spatial relations, especially topological relations, have attracted much attention from the GIS community. In this paper, some basic topologic models for spatial entities in both vec...