8 Result(s)
within
Conference Paper
Fuming Sun
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Chapter and Conference Paper
Towards Stereo Matching Algorithm Based on Multi-matching Primitive Fusion
Classical adaptive support weight (ASW) algorithm has poor robustness and high computational complexity for stereo matching in the case of relatively low texture and complex texture regions. To solve this issu...
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Chapter and Conference Paper
Parameter Selection for Denoising Algorithms Using NR-IQA with CNN
In order to yield satisfied image after denosing processing, the process of error tracing is nearly necessary for parameter selection. In practice, usually the choice of such parameters is time consuming and e...
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Chapter and Conference Paper
Incremental Nonnegative Matrix Factorization with Sparseness Constraint for Image Representation
Nonnegative matrix factorization (NMF) is a powerful method of data dimension reduction and has been widely used in face recognition. However, existing NMF algorithms have two main drawbacks. One is that the s...
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Chapter and Conference Paper
Adaptive NNs Fault-Tolerant Control for Nonstrict-Feedback Nonlinear Systems
In this paper, the problem of fault-tolerant control (FTC) is investigated for a class of nonlinear single input and single output (SISO) systems in the non-strict feedback form. The considered system possess ...
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Chapter and Conference Paper
Robust Multi-label Image Classification with Semi-Supervised Learning and Active Learning
Most existing work on multi-label learning focused on supervised learning which requires manual annotation samples that is labor-intensive, time-consuming and costly. To address such a problem, we present a no...
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Chapter and Conference Paper
High-Level Video Semantic Concept Detection Based on Multi-level Feature Representations
Semantic concept detection is a fundamental problem with many practical applications such as concept-based video retrieval. The major challenge of concept detection lies in the existence of the well-known sema...
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Chapter and Conference Paper
Compact and Robust Image Fingerprints Based on CCA of Local Features
Image fingerprints are perceptual features or short summaries of a given image. They can be used for identifying image contents just as human fingerprints are used for identification. In this paper, we propose...
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Chapter and Conference Paper
Robust Detection and Localization of Human Action in Video
We propose a robust and efficient method for accurate detecting and localizing complex human action in video in space and time dimensions using spatio-temporal templates. A simple but effective motion descript...
