Results 11 to 20 of about 379,717 (269)
PLANT LEAF IMAGE RECOGNITION SYSTEM [PDF]
International Journal of Multidisciplinary Research Configuration, 2021 Plants play a vital role in our day-to-day life. Hence, a good understanding of plants is needed to help in identifying new or rare plant species. Such identification will in turn improve the drug industry, balance the ecosystem as well as the agricultural productivity and sustainability.
Gaurav Kulkarni, Chandrashekhar Kumbhar
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Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion
Sensors, 2022 Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall ...
Horatiu Florea +5 more
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Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
Information, 2015 As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving
Songjiang Lou +3 more
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Image-free multi-character recognition [PDF]
Optics Letters, 2022 The recently developed image-free sensing technique decouples semantic information directly from compressed measurements without image reconstruction, which maintains the advantages of both the light hardware and software. However, the existing attempts have failed to classify multi-semantic information with multiple targets in the practical fieldof ...
Liheng Bian +3 more
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Person Re-Identification Based on DropEasy Method
IEEE Access, 2019 Currently, majority of person re-identification (reID) technologies are network-constrained by Dropout regularization, which relies on the random zeroing out of some features to make these features more independent.
Huiyang Wang +3 more
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A scale-adaptive object-tracking algorithm with occlusion detection
EURASIP Journal on Image and Video Processing, 2020 The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of fine-grained ...
Yue Yuan +4 more
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MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction
Nano-Micro Letters, 2017 Membrane proteins are an important kind of proteins embedded in the membranes of cells and play crucial roles in living organisms, such as ion channels, transporters, receptors.
Xi Yin +4 more
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2008 9th International Conference on Signal Processing, 2008 Kernel-based methods have been widely used in pattern recognition. But traditional kernel functions can only process 1D vectors, while image data are often 2D matrices. This paper presents a new kernel function based on RBF kernel function for image target recognition.
XiaoKai, Zhu, Xiang, Li
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Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Information, 2014 Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
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Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification
IEEE Access, 2021 In person re-identification (Re-ID), increasing the diversity of pedestrian features can improve recognition accuracy. In standard convolutional neural networks (CNNs), the receptive fields of neurons in each layer are designed to have the same size ...
Li Xu, Xiang Fu
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