Search Results - "Non-negative sparse coding"

Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution by 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…”
Get full text

SCTD-ICA: A ICA-Based Approach for Fetal ECG Extraction from Single Channel Abdominal ECG by 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)…”
Get full text

Medical image classification based on multi-scale non-negative sparse coding by 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…”
Get full text

Image categorization using non-negative kernel sparse representation by 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…”
Get full text

Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction by 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…”
Get full text

Denoising sound signals in a bioinspired non-negative spectro-temporal domain by 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,…”
Get full text

A robust local sparse coding method for image classification with Histogram Intersection Kernel by 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…”
Get full text

Modeling object recognition in visual cortex using multiple firing k-means and non-negative sparse coding by 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…”
Get full text

Voice Activity Detection Via Noise Reducing Using Non-Negative Sparse Coding by 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…”
Get full text

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition by 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…”
Get full text

Dispersion constraint based non-negative sparse coding algorithm by 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…”
Get full text

Constrained non-negative sparse coding using learnt instrument templates for realtime music transcription by 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…”
Get full text

Approximating morphological operators with part-based representations learned by asymmetric auto-encoders by 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…”
Get full text

Extended Super Resolution of Hyperspectral Images via Non-negative Sparse Coding by 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,…”
Get full text

Piano multipitch estimation using sparse coding embedded deep learning by 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…”
Get full text

Dispersion Constraint Based Non-negative Sparse Coding Model by 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…”
Get full text

Noise removal using a novel non-negative sparse coding shrinkage technique by 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…”
Get full text

Dictionary learning for Poisson compressed sensing by 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…”
Get full text

Monophonic constrained non-negative sparse coding using instrument models for audio separation and transcription of monophonic source-based polyphonic mixtures by 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…”
Get full text

Speech overlap detection and attribution using convolutive non-negative sparse coding by 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…”
Get full text