Results 21 to 30 of about 498,935 (316)
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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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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Image Feature Extraction Using 2D Mel-Cepstrum [PDF]
, 2010 In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix ...
Çakır, Serdar +5 more
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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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Image recognition for digital libraries
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, 2004 The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents in digital libraries, we propose to design classifiers able to annotate images with keywords. First, we propose an image representation appropriate for scene description. Images
Le Saux B, Amato G
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Mel-cepstral Methods For Image Feature Extraction [PDF]
, 2010 A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article.
Çakır, Serdar +4 more
core +1 more source
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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No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain
IEEE Access, 2021 This paper proposes a general-purpose no-reference image quality assessment (NR-IQA) method that investigates the image’s structure information from a new aspect, i.e., the characteristic of image edge profiles that depict the directional property
Wenting Shao, Xuanqin Mou
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Learning Hierarchical Image Segmentation For Recognition and By Recognition
, 2022 Large vision and language models learned directly through image-text associations often lack detailed visual substantiation, whereas image segmentation tasks are treated separately from recognition, supervisedly learned without interconnections. Our key observation is that, while an image can be recognized in multiple ways, each has a consistent part ...
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
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Gait recognition with shifted energy image and structural feature extraction [PDF]
, 2012 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Huang, X, Boulgouris, NV
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