International Conference on Neural Computing for Advanced Applications
4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I
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68 Result(s)
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**zhou Wu
Computer Science
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Article
Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
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Article
Dual-stage temporal perception network for continuous sign language recognition
Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a sign language video with only a sentence-level label provided in a weakly supervised way. In sign language videos, the ...
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Article
Robust copy-move detection and localization of digital audio based CFCC feature
Copy-move forgery is a common audio tampering technique in which users copy the contents of one speech and paste them into another region of the same speech signal, thus achieving the effect of tampering with ...
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Chapter and Conference Paper
Optimizing the Parallelism of Communication and Computation in Distributed Training Platform
With the development of deep learning, DNN models have become more complex. Large-scale model parameters enhance the level of AI by improving the accuracy of DNN models. However, they also present more severe ...
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Chapter and Conference Paper
A Hybrid Kernel Pruning Approach for Efficient and Accurate CNNs
To reduce the overhead of neural network training and inference, several techniques have been widely used to prune neural network models. Pruning algorithms can significantly reduce the number of parameters in...
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Chapter
Linguistic Steganography and Linguistic Steganalysis
The objective of linguistic steganography is to embed additional data in text carriers for covert communication, whereas linguistic steganalysis, as a counter technology to linguistic steganography, aims at re...
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Article
Exploring the design space of virtual tutors for children with autism spectrum disorder
Children with autism spectrum disorder (ASD) require long-term interventions with professional tutors. In this paper, we explore the design space of virtual tutors in digital learning systems that may facilita...
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Article
Time-series benchmarks based on frequency features for fair comparative evaluation
Time-series prediction and imputation receive lots of attention in academic and industrial areas. Machine learning methods have been developed for specific time-series scenarios; however, it is difficult to ev...
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Article
Special issue on neural computing and applications 2020
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Chapter and Conference Paper
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem
Capacitated vehicle routing problem (CVRP) is challenging or even impossible to be solved. Most studies solve similar CVRPs without prior knowledge. In order to use the knowledge obtained by solving similar hi...
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Chapter and Conference Paper
PointAF: A Novel Semantic Segmentation Network for Point Cloud
Point cloud semantic segmentation is a crucial problem in computer vision, which aims to assign semantic labels to each point in a point cloud. However, the sparsity and irregularity of point cloud data pose s...
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Chapter and Conference Paper
A Multi-style Interior Floor Plan Design Approach Based on Generative Adversarial Networks
Artificial intelligence is resha** the process of interior floor plan design, making it more intelligent and automatic. Due to the increasing demand for interior design, this paper proposes a dual-module app...
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Chapter and Conference Paper
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Federated learning (FL) enables multiple client medical institutes collaboratively train a deep learning (DL) model with privacy protection. However, the performance of FL can be constrained by the limited ava...
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Book and Conference Proceedings
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Chapter and Conference Paper
Generative Model Watermarking Based on Human Visual System
Intellectual property protection of deep neural networks is receiving attention from more and more researchers, and the latest research applies model watermarking to generative models for image processing. How...
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Book and Conference Proceedings
International Conference on Neural Computing for Advanced Applications
4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II
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Article
Fitting multiple temporal usage patterns in day-ahead hourly building load forecasting under patch learning framework
This paper proposes a novel day-ahead hourly building load forecasting approach under the framework of patch learning, a recently proposed data-driven model that aggregates a global model and several patch mod...
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Article
Surveillance video anomaly detection via non-local U-Net frame prediction
Anomaly detection of surveillance video has become a critical concern in computer vision. It can be used for real-time monitoring and the timely generation of alarms and is widely applied in transportation sys...
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Article
Multi-party watermark embedding with frequency-hop** sequences
Embedding multiple watermarks into a digital object enables multiple purposes to be realized. In this paper, we present a multi-party watermark embedding framework based on frequency-hop** sequences (FHSs). ...
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Chapter and Conference Paper
A Data Interaction Mechanism of Multi-market Members in Power Spot Market Based on Blockchain
Blockchain has the characteristics of smart contract, distributed decision-making, collaborative autonomy, tamper proof high security, openness and transparence. It is suitable for the power spot trading marke...
