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Article
LPI-SKMSC: Predicting LncRNA–Protein Interactions with Segmented k-mer Frequencies and Multi-space Clustering
Long noncoding RNAs (lncRNAs) have significant regulatory roles in gene expression. Interactions with proteins are one of the ways lncRNAs play their roles. Since experiments to determine lncRNA–protein inter...
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Article
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion
Circular RNAs (circRNAs) participate in the regulation of biological processes by binding to specific proteins and thus influence transcriptional processes. In recent years, circRNAs have become an emerging ho...
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Article
iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local–Global Feature Extraction Network
The DNase I hypersensitive sites (DHSs) are active regions on chromatin that have been found to be highly sensitive to DNase I. These regions contain various cis-regulatory elements, including promoters, enhancer...
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Article
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network
Due to the crucial role of interactions between microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in biological processes, the study of their biological functions is necessary. So far, the various computat...
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Chapter and Conference Paper
Palmprint Recognition Using the Combined Method of BEMD and WCB-NNSC
A novel image palmprint reconstruction method using the combined method of bi-dimensional empirical mode decomposition (BEMD) and weight coding based non-negative sparse coding (WCB-NNSC) is proposed here. The...
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Chapter and Conference Paper
Automatic Examination Paper Scores Calculation and Grades Analysis Based on OpenCV
How to automatically and accurately score the examination paper still remains a challenging task, due to different handwriting habits. In this article, a method based on OpenCV has been proposed that can autom...
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Chapter and Conference Paper
Palmprint Feature Extraction Utilizing WTA-ICA in Contourlet Domain
Contourlet transform can obtain the better contour of an image and make it sparser in local subspace. While independent component analysis based winner-take-all (WTA-ICA) algorithm can extract efficiently imag...
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Chapter and Conference Paper
Facial Age Estimation with a Hybrid Model
How to accurately estimate facial age is still an intractable task because of insufficiency of training data. In this paper, a hybrid model is proposed to estimate facial age by means of extreme learning machi...
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Chapter and Conference Paper
A Robust Object Tracking Approach with a Composite Similarity Measure
How to achieve a robust performance remains an intractable problem in the various object tracking algorithms due to some unfavorable factors, e.g. occlusions, appearance change, etc. In this paper, a robust ob...
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Chapter and Conference Paper
Palm Recognition Using the Adaptive LWT Based Sparse Representation Method
To extract the essential features from a relatively small number of sampling set and further improve the feature recognition precision of images, a novel palm recognition method using the adaptive lifting wave...
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Chapter and Conference Paper
Real-Time Key Frame Extraction in a Low Lighting Condition
In a low lighting condition, the key frame extraction is an intractable problem due to the degraded video quality. Aimed at this issue, an effective real-time key frame extraction method is proposed to deal wi...
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Chapter and Conference Paper
An Effective Low-Light Image Enhancement Algorithm via Fusion Model
In a low-light condition, the quality of a captured image may be much poorer than that obtained in a normal environment. As an effective preprocessing step, many enhancement algorithms have been proposed to im...
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Chapter and Conference Paper
An Effective Facial Image Verification Based Attendance Management System
In this paper, we present an effective facial image verification based automated attendance management system (FIV-AMS). The proposed system can be divided into three main components: face detection, image pre...
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Chapter and Conference Paper
An Effective and Efficient Dehazing Method of Single Input Image
The quality of an image may be degraded seriously when it is captured in a foggy weather condition. In this paper, an effective and efficient dehazing method is proposed for a single input image by combining t...
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Chapter and Conference Paper
Background Subtraction with Superpixel and k-means
In this paper, we presents a background subtraction approach with superpixel and k-means that aims to use less memory to establish a background model and less computation time for moving object detection. We ...
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Chapter and Conference Paper
Moving Cast Shadow Removal Based on Texture Feature and Color Space
Moving cast shadow detection is an essential and pivotal problem in image processing. One problem is that many existed moving cast shadow detection methods are only suitable for some specific situations. In or...
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Chapter and Conference Paper
An Effective EM-PND Based Integrated Approach for NRSFM with Small Size Sequences
The performance of non-rigid structure from motion (NRSFM) generally deteriorates when the image sequence is small. In this paper, an effective approach is proposed to deal with NRSFM with small size sequences...
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Article
Dispersion Constraint Based Non-negative Sparse Coding Model
Based on advantages of basic non-negative sparse coding (NNSC) model, and considered the prior class constraint of image features, a novel NNSC model is discussed here. In this NNSC model, the sparseness crite...
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Chapter and Conference Paper
K-SVD Based Image Denoising Method Using Image Residual Information in Different Frequency Bands
The common image denoising methods only consider how to restore well image information from noise images, but neglect the effects of residual information between restored images and given images. To enhance de...
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Chapter and Conference Paper
A BRMF-Based Model for Missing-Data Estimation of Image Sequence
How to effectively deal with occlusion is an important step of structure from motion (SFM). In this paper, an accurate missing data estimation method is proposed by combining Bayesian robust matrix factorizati...
