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Article
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements for computational resources in the field of real-time semantic segmentation, most approaches focus on the hand-crafted design of light-weight segmentation networks. To enj...
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Article
Open AccessA survey on deep geometry learning: From a representation perspective
Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques f...
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Article
Research on radar signal recognition based on automatic machine learning
With the advancement of machine learning and radar technology, machine learning is becoming more and more widely used in the field of radar. Radar scanning, signal acquisition and processing, one-dimensional r...
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Article
A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images
This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical im...
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Article
Accelerated image factorization based on improved NMF algorithm
Non-negative matrix factorization (NMF) is widely used in feature extraction and dimension reduction fields. Essentially, it is an optimization problem to determine two non-negative low rank matrices ...
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Article
Facial age estimation by using stacked feature composition and selection
In this paper we propose a novel hierarchical feature composition and selection model used in facial age estimation. In recent years, hierarchical architectures have been shown to outperform the flat structure...
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Article
Active contour evolved by joint probability classification on Riemannian manifold
In this paper, we present an active contour model for image segmentation based on a nonparametric distribution metric without any intensity a priori of the image. A novel nonparametric distance metric, which i...
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Article
Detail-generating geometry completion for point-sampled geometry
In this paper, we present a novel method for detail-generating geometry completion over point-sampled geometry. The main idea consists of converting the context-based geometry completion into the detail-based ...
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Article
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting
For mobile communication traffic series, an accurate multistep prediction result plays an important role in network management, capacity planning, traffic congestion control, channel equalization, etc. A novel...
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Article
A low-complexity data-adaptive approach for premature ventricular contraction recognition
Premature ventricular contraction (PVC) may lead to life-threatening cardiac conditions. Real-time automated PVC recognition approaches provide clinicians the useful tools for timely diagnosis if dangerous con...
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Article
Open Access3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
A major challenge in applying Bayesian tracking methods for tracking 3D human body pose is the high dimensionality of the pose state space. It has been observed that the 3D human body pose parameters typically...