34 Result(s)
within
Computer Science
Computer Communication Networks
Pattern Recognition
Zhuo** **e
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Chapter and Conference Paper
Visible and NIR Image Fusion Algorithm Based on Information Complementarity
Visible and near-infrared (NIR) band sensors provide images that capture complementary spectral radiations from a scene. And the fusion of the visible and NIR image aims at utilizing their spectrum properties ...
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Chapter and Conference Paper
Dual-Domain Network for Restoring Images from Under-Display Cameras
With the increasing popularity of full-screen devices, phone manufacturers have started placing cameras behind screens to increase the percentage of the displays. However, this innovative approach, known as un...
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Chapter and Conference Paper
A Three-Stage Model Fusion Method for Out-of-Distribution Generalization
Training a model from scratch in a data-deficient environment is a challenging task. In this challenge, multiple differentiated backbones are used to train, and a number of tricks are used to assist in model t...
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Chapter and Conference Paper
CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation
Modeling context information is critical for crowd counting and desntiy estimation. Current prevailing fully-convolutional network (FCN) based crowd counting methods cannot effectively capture long-range depen...
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Chapter and Conference Paper
TransFinger: Transformer Based Finger Tri-modal Biometrics
Finger is a very competent biometric carrier, which contains many valuable biometric features (fingerprint, finger-vein and finger-knuckle-print). Exploring multi-modal biometric fusion recognition of fingers ...
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Chapter and Conference Paper
Multi-view Finger Vein Recognition Using Attention-Based MVCNN
Finger vein images are susceptible to finger posture variation and inappropriate lighting due to the contact-less imaging method and the special imaging principle, which can cause the imaging area to shift and...
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Chapter and Conference Paper
IrisGuard: Image Forgery Detection for Iris Anti-spoofing
With the development of generative models, new types of fake iris have emerged. Distinguished from traditional spoofing means caused by cosmetic contact lenses, such iris images are realistic and easily access...
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Chapter and Conference Paper
A Guided Evaluation Method for Robot Dynamic Manipulation
It is challenging for reinforcement learning (RL) to solve the dynamic goal tasks of robot in sparse reward setting. Dynamic Hindsight Experience Replay (DHER) is a method to solve such problems. However, the ...
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Chapter and Conference Paper
Interactive Semantic Features Selection from Reviews for Recommendation
In recent years, reviews information has been effectively utilized by deep learning to improve the performance of the recommendation system and alleviate the problems of sparse data and cold start. However, th...
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Chapter and Conference Paper
MIRU: A Novel Memory Interaction Recurrent Unit
The memory-based network is widely used in a variety of sequence modeling. Taking full use of memory is one of the challenges to build memory-based models. Existing work either as recurrent neural network, mem...
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Chapter and Conference Paper
Inpainting with Sketch Reconstruction and Comprehensive Feature Selection
With the advent of the convolutional neural network, learning-based image inpainting approaches have received much attention, and most of these methods have been attracted by adversarial learning and various l...
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Chapter and Conference Paper
Dense Image Captioning Based on Precise Feature Extraction
Image captioning is a challenging problem in computer vision, which has numerous practical applications. Recently, the method of dense image captioning has emerged, which realizes the full understanding of the...
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Chapter and Conference Paper
Modeling Longitudinal Voxelwise Feature Change in Normal Aging with Spatial-Anatomical Regularization
Image voxel/vertex-wise feature in the brain is widely used for automatic classification or significant region detection of various dementia syndromes. In these studies, the non-imaging variables, such as age,...
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Chapter and Conference Paper
iCHUM: An Efficient Algorithm for High Utility Mining in Incremental Databases
High utility mining is a fundamental topic in association rule mining, which aims to discover all itemsets with high utility from transaction database. The previous studies are mainly based on fixed databases,...
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Chapter and Conference Paper
CSRA: An Efficient Resource Allocation Algorithm in MapReduce Considering Data Skewness
MapReduce offers a promising programming model for big data processing. One significant issue in practical applications is data skew, its an important reason for the emergence of stragglers which makes the dat...
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Chapter and Conference Paper
An Algebra Description for Hard Clustering
Hard clustering algorithm partitions data set into several distinct regions. Clustering result offers a kind of characterization for the distribution of data relied on concentration. At the same time, the clus...
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Chapter and Conference Paper
Bizard: An Online Multi-dimensional Data Analysis Visualization Tool
In order to address the visualized analysis on the multi-dimensional data, this demo paper designs and implements a visualization analysis tool, named as Bizard. Bizard encapsulates the underlying Hadoop Client o...
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Chapter and Conference Paper
Discovering the Most Potential Stars in Social Networks with Infra-skyline Queries
With the rapid development of Social Network (SN for short), people increasingly pay attention to the importance of the roles which they play in the SNs. As is usually the case, the standard for measuring the imp...
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Chapter and Conference Paper
Micro-Blood Vessel Detection Using K-means Clustering and Morphological Thinning
This paper introduces a combination method for blood vessel segmentation based on k-means clustering and morphological thinning. In the first stage, the original image was partitioned into two clusters (foregr...
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Chapter and Conference Paper
Batch Text Similarity Search with MapReduce
Batch text similarity search aims to find the similar texts according to users’ batch text queries. It is widely used in the real world such as plagiarism check, and attracts more and more attention with the emer...
