Suchergebnisse - "sparse coding features"

Video-based facial expression recognition using learned spatiotemporal pyramid sparse coding features von Long, Fei, Bartlett, Marian S.

“… ) into video case, and perform spatiotemporal pyramid feature pooling following sparse coding feature extraction …”
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Time–frequency audio feature extraction based on tensor representation of sparse coding von Zhang, Xue-Yuan, He, Qian-Hua

“… The experimental results of sound effects classification showed performance improvement against that of sparse coding features …”
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Multi-SVM based Dempster–Shafer theory for gesture intention understanding using sparse coding feature von Chen, Luefeng, Feng, Yu, Maram, Mohamed A., Wang, Yawu, Wu, Min, Hirota, Kaoru, Pedrycz, Witold

“… The Dempster–Shafer theory based on multi-SVM to deal with multimodal gesture images for intention understanding is proposed, in which the Sparse Coding (SC) …”
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Multi-SVM based Dempster–Shafer theory for gesture intention understanding using sparse coding feature von Luefeng Chen, Yu Feng, Mohamed A. Maram, Yawu Wang, Min Wu, Kaoru Hirota, Witold Pedrycz

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Combining sparse coding and time-domain features for heart sound classification von Whitaker, Bradley M, Suresha, Pradyumna B, Liu, Chengyu, Clifford, Gari D, Anderson, David V

“… This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which used sparse coding as a feature extraction tool on audio PCG data for …”
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From Sparse Coding Significance to Perceptual Quality: A New Approach for Image Quality Assessment von Ahar, Ayyoub, Barri, Adriaan, Schelkens, Peter

“… An increasing number of image processing applications require an automated quality prediction of the visual content as perceived by humans. Since, sparse …”
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Medical image classification based on multi-scale non-negative sparse coding von Zhang, Ruijie, Shen, Jian, Wei, Fushan, Li, Xiong, Sangaiah, Arun Kumar

“… •We propose a multi-scale non-negative sparse coding model to construct visual dictionary thus to overcome the defects of BoVW-based algorithms.•We utilize …”
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Eye state detection based on nonnegative sparse coding feature von Chen Siyao, Qin Jianzhao

“… : Eye Localization, Preprocessing, Nonnegative sparse coding feature, SVM classifier. We compared our method to other methods[6][7 …”
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Symmetric nonnegative matrix factorization with elastic-net regularized block-wise weighted representation for clustering von Rodríguez-Domínguez, Ulises, Dalmau, Oscar

“… On the other hand, block-wise weighted sparse representation-based classification (BW-SRC), a recently proposed sparse representation technique improved sparse coding features for supervised classification …”
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A Fast Sparse Coding Method for Image Classification von Zang, Mujun, Wen, Dunwei, Liu, Tong, Zou, Hailin, Liu, Chanjuan

“… Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field …”
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Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification von Perkins, Garrett, McGlinn, Chase, Rizwan, Muhammad, Whitaker, Bradley M

“… We consider 12 time-domain statistical features per lead, as well as sparse coding features obtained from frequency information that is extracted from each ECG lead …”
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Semantics constrained dictionary learning for signer-independent sign language recognition von Fang Yin, Xiujuan Chai, Yu Zhou, Xilin Chen

“… In this paper, a sparse coding based framework is proposed for sign language recognition (SLR), especially for the signer-independent case. To deal with the …”
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End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding von Mavroudi, Effrosyni, Bhaskara, Divya, Sefati, Shahin, Ali, Haider, Vidal, Rene

“… -level action primitives. This results in a CRF model that is driven by sparse coding features obtained using a discriminative …”
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Improving Feature Learning, Feature Selection, and Classification in Facial Expression Analysis von Liu, Ping

“… As being characterized by various configurations of facial muscular movements, facial expression is the most natural and powerful means for human …”
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End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding von Mavroudi, Effrosyni, Bhaskara, Divya, Sefati, Shahin, Haider, Ali, Vidal, René

“… -level action primitives. This results in a CRF model that is driven by sparse coding features obtained using a discriminative …”
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SparseCodePicking: feature extraction in mass spectrometry using sparse coding algorithms von Alexandrov, Theodore, Steinhorst, Klaus, Keszoecze, Oliver, Schiffler, Stefan

“… Mass spectrometry (MS) is an important technique for chemical profiling which calculates for a sample a high dimensional histogram-like spectrum. A crucial …”
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Feature Extraction Based on Sparse Coding Approach for Hand Grasp Type Classification von Samkunta, Jirayu, Ketthong, Patinya, Mai, Nghia Thi, Kamal, Md Abdus Samad, Murakami, Iwanori, Yamada, Kou

“… In this paper, we propose a novel sparse coding feature extraction technique based on dictionary learning to address this challenge …”
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A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications von Wang, Qiang, Chen, Long, Zhao, Jun, Wang, Wei

“… An accurate long-term forecasting for some time series in industrial production is substantially significant for improving the economic efficiency of industry …”
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Human Action Recognition: Learning Sparse Basis Units from Trajectory Subspace von Moayedi, Fatemeh, Azimifar, Zohreh, Boostani, Reza

“… " This step is followed by sparse coding feature learning with the aim of transforming low-level descriptors of visual words into richer representations of intermediate complexity, called mid-level …”
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Deep Residual Convolutional Network for Natural Image Denoising and Brightness Enhancement von Xu, Wenjie, Lee, Malrey, Zhang, Yujia, You, Jie, Suk, Sungyoung, Choi, Jae-Young

“… A deep low-light residual convolutional network (LRCNN) is proposed in this paper, which utilizes the sparse coding feature to get the true signal and adaptively adjusts the image exposure in the low-light state …”
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