Suchergebnisse - "non-negative sparse coding"

Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution von Han, Xian-Hua, Shi, Boxin, Zheng, Yinqiang

“… Fusing a low-resolution hyperspectral (HS) image with the corresponding high-resolution multispectral image to obtain a high-resolution HS image is an …”
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SCTD-ICA: A ICA-Based Approach for Fetal ECG Extraction from Single Channel Abdominal ECG von Asadi, Amirreza, Ghaffari, Aboozar

“… The fetal electrocardiogram (FECG) signal provides valuable insights into the fetal cardiac status during pregnancy. As the maternal abdominal ECG (AECG) …”
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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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Image categorization using non-negative kernel sparse representation von Zhang, Yungang, Xu, Tianwei, Ma, Jieming

“… Sparse representation of signals have become an important tool in computer vision. In many computer vision applications such as image denoising, image …”
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Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction von Kim, Seon Man

“… This paper proposes a novel technique to improve a spectral statistical filter for speech enhancement, to be applied in wearable hearing devices such as …”
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Denoising sound signals in a bioinspired non-negative spectro-temporal domain von Martínez, C.E., Goddard, J., Di Persia, L.E., Milone, D.H., Rufiner, H.L.

“… The representation of sound signals at the cochlea and auditory cortical level has been studied as an alternative to classical analysis methods. In this work, …”
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A robust local sparse coding method for image classification with Histogram Intersection Kernel von Li, Pan, Liu, Yang, Liu, Guojun, Guo, Maozu, Pan, Zhiyong

“… Local sparse coding methods have been shown to lead to increased performance in image classification when it takes histograms as inputs. These methods often …”
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Modeling object recognition in visual cortex using multiple firing k-means and non-negative sparse coding von Wang, Yanjiang, Deng, Limiao

“… The HMAX model developed by Serre et al. imitates the process of visual recognition in primates’ visual cortex. However, it has some limits in modeling the V2 …”
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Voice Activity Detection Via Noise Reducing Using Non-Negative Sparse Coding von Teng, Peng, Jia, Yunde

“… This letter presents a voice activity detection (VAD) approach using non-negative sparse coding to improve the detection performance in low signal-to-noise …”
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Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition von Baby, Deepak, Virtanen, Tuomas, Gemmeke, Jort F., Van hamme, Hugo

“… Exemplar-based speech enhancement systems work by decomposing the noisy speech as a weighted sum of speech and noise exemplars stored in a dictionary and use …”
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Dispersion constraint based non-negative sparse coding algorithm von Shang, Li, Wang, Xin, Sun, Zhan-Li

“… The basic Non-negation Sparse Coding (NNSC) algorithm behaves both advantages of basic Sparse Coding (SC) and Non-negative Matrix Factorization (NMF). It has …”
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Constrained non-negative sparse coding using learnt instrument templates for realtime music transcription von Carabias-Orti, J.J., Rodriguez-Serrano, F.J., Vera-Candeas, P., Cañadas-Quesada, F.J., Ruiz-Reyes, N.

“… In this paper, we present a realtime signal decomposition method with single-pitch and harmonicity constrains using instrument specific information. Although …”
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Approximating morphological operators with part-based representations learned by asymmetric auto-encoders von Blusseau, Samy, Ponchon, Bastien, Velasco-Forero, Santiago, Angulo, Jesús, Bloch, Isabelle

“… This paper addresses the issue of building a part-based representation of a dataset of images. More precisely, we look for a non-negative, sparse decomposition …”
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Extended Super Resolution of Hyperspectral Images via Non-negative Sparse Coding von Pawar, Maneesh, Venkatesh, K. S.

“… Often high resolution (HR) RGB images generated by sparse sampling of the visible spectrum fail to produce differentiable modality for computer vision tasks, …”
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Piano multipitch estimation using sparse coding embedded deep learning von Li, Xingda, Guan, Yujing, Wu, Yingnian, Zhang, Zhongbo

“… As the foundation of many applications, multipitch estimation problem has always been the focus of acoustic music processing; however, existing algorithms …”
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Dispersion Constraint Based Non-negative Sparse Coding Model von Wang, Xin, Wang, Can, Shang, Li, Sun, Zhan-Li

“… Based on advantages of basic non-negative sparse coding (NNSC) model, and considered the prior class constraint of image features, a novel NNSC model is …”
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Noise removal using a novel non-negative sparse coding shrinkage technique von Shang, Li, Huang, De-Shuang, Zheng, Chun-Hou, Sun, Zhan-Li

“… A novel and successful method for denoising natural images using an extended non-negative sparse coding (NNSC) shrinkage technique is proposed. The main idea …”
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Dictionary learning for Poisson compressed sensing von Patil, Sukanya, Velmurugan, Rajbabu, Rajwade, Ajit

“… Imaging techniques involve counting of photons striking a detector. Due to fluctuations in the counting process, the measured photon counts are known to be …”
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Monophonic constrained non-negative sparse coding using instrument models for audio separation and transcription of monophonic source-based polyphonic mixtures von Rodríguez-Serrano, Francisco José, Carabias-Orti, Julio José, Vera-Candeas, Pedro, Canadas-Quesada, Francisco Jesús, Ruiz-Reyes, Nicolás

“… In this paper we propose a monophonic constrained signal decomposition model applied to polyphonic signals composed of several monophonic sources from …”
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Speech overlap detection and attribution using convolutive non-negative sparse coding von Vipperla, R., Geiger, J. T., Bozonnet, S., Dong Wang, Evans, N., Schuller, B., Rigoll, G.

“… Overlapping speech is known to degrade speaker diarization performance with impacts on speaker clustering and segmentation. While previous work made important …”
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