Search Results - multi-modal conventional sparse coding

Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search by Zhu, Lei, Huang, Zi, Liu, Xiaobai, He, Xiangnan, Sun, Jiande, Zhou, Xiaofang

“… Second, multimodal sparse coding is applied to transform visual features from multiple modalities into an intermediate…”
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Multi-Modal Transformer for Compressive LiDARs Using Hyperspectral Imaging Side-Information by Porras-Diaz, N., Ramirez-Jaime, A., Arce, G. R., Vargas, R., Harding, D., Stephen, M., MacKinnon, J.

“… It is based on NASA's adaptive wavelength scanning LiDAR (AWSL) system. Unlike conventional 1D LiDAR methods, CS-LiDAR utilizes sparse coded laser illumination across a 2D field-of-view…”
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Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition by Li, Shuyi, Zhang, Bob

“… correlations among inter-modality. In this paper, we propose a simple yet effective supervised multimodal feature learning method, called joint discriminative sparse coding (JDSC…”
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Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution by Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish

“…With multimodal imaging systems in place, recent research focus has been directed toward exploiting the knowledge from different imaging modalities to solve inverse problems, one example being image…”
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Synchronous multi-signal acquisition for WBSNs using gold-code based joint-compressive sensing by Rahimi, Arya Alex, Carreira, Leonardo Bosco, Gupta, Subhanshu

“… Simultaneous single-pass reconstruction of multiple signals that are sparse in time and frequency domain are shown using the same front-end hardware and minimal reconstruction overhead…”
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Recent advances via convolutional sparse representation model for pixel-level image fusion by Pan, Yue, Lan, Tianye, Xu, Chongyang, Zhang, Chengfang, Feng, Ziliang

“…) or conventional multiscale transform (MST) have some drawbacks that are difficult to overcome. As an alternative form of SR, convolutional sparse representation (CSR…”
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Colors in multimodal data: Dominant line extraction inspired by computer vision techniques by Nishikawa, Tomohiro, Tanaka, Yuichi

“… It represents real color images as a collection of multiple lines in RGB color space. By extracting color lines from multimodal data, our proposed method can utilize hidden inter-channel relationships unlike conventional methods…”
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Joint Discriminative Feature Learning for Robust Multimodal Biometric Recognition by Li, Shuyi

“…Compared with unimodal biometrics, multimodal biometrics using multiple sources of information for establishing…”
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Pseudo-Random Channel Shuffling Time-Division Multiplexing of Ultrasound Echoes in Ultrasound Imaging Integrated Circuits by Dias, Diogo, Goes, Joao, Desmarais, Samuel, Costa, Tiago M. L.

“…Next generation wearable/implantable ultrasound imaging systems demand ultra-compact, power-efficient analog front-end circuits enabling high-resolution, high frame-rate multimodal imaging…”
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Particle swarm optimizer: Applications in high-dimensional data clustering by Lu, Yanping

“… As the number of features increases, data becomes very sparse and distance measures in the whole feature space become meaningless…”
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