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An audio-visual fusion framework with joint …

    https://ieeexplore.ieee.org/abstract/document/4518640/

    An audio-visual fusion framework with joint dimensionality ...

      https://experts.illinois.edu/en/publications/an-audio-visual-fusion-framework-with-joint-dimensionality-reduct
      In this paper, we present a novel audio-visual fusion framework, in which a joint dimensionality reduction approach is used to project the audio and visual features into more compact subspaces. With correlation preserving criteria, the representations of projected audio and visual features will be able to preserve the correlation conveyed in the original audio and visual …

    An audio-visual fusion framework with joint …

      https://www.researchgate.net/publication/224762164_An_audio-visual_fusion_framework_with_joint_dimensionality_reducton

      Learning Joint Statistical Models for Audio-Visual Fusion ...

        https://proceedings.neurips.cc/paper/2000/file/11f524c3fbfeeca4aa916edcb6b6392e-Paper.pdf
        models for the signals, and their high-dimensionality and varied sam­ pling rates. Previous approaches [6] assumed simple parametric models for the joint distribution which, while tractable, cannot capture the com­ plex signal relationships. We learn the joint distribution of the visual and auditory signals using a non-parametric approach.

      Learning Joint Statistical Models for Audio-Visual Fusion ...

        https://people.cs.umass.edu/~elm/Teaching/Learning_To_See_F05/audio_video.pdf
        models for the signals, and their high-dimensionality and varied sam-pling rates. Previous approaches [6] assumed simple parametric models for the joint distribution which, while tractable, cannot capture the com-plex signal relationships. We learn the joint distribution of the visual and auditory signals using a non-parametric approach.

      DMMAN: A two-stage audio–visual fusion framework for …

        https://www.researchgate.net/publication/347800127_DMMAN_A_two-stage_audio-visual_fusion_framework_for_sound_separation_and_event_localization

        A Visual Interaction Framework for Dimensionality ...

          https://hci.stanford.edu/~cagatay/projects/fbp/chi18.pdf
          is difficult. Dimensionality-reduction algorithms use complex optimizations to reduce the number of dimensions of a dataset, but these new dimensions often lack a clear relation to the initial data dimensions, thus making them difficult to interpret. Here we propose a visual interaction framework to improve dimensionality-reduction based ...

        DMMAN: A two-stage audio–visual fusion framework for …

          https://www.sciencedirect.com/science/article/pii/S0893608020303580

          Feature Fusion Using Multiple Component Analysis ...

            https://link.springer.com/article/10.1007/s11063-011-9197-6
            Liu M, Fu Y, Huang TS (2008) An audio-visual fusion framework with joint dimensionality reduction. In: Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP) 2. Kuncheva LI (2004) Combining pattern classification, methods and algorithms. Wiley, New York. Book Google Scholar 3

          Multiple feature fusion by subspace learning | …

            https://dl.acm.org/doi/10.1145/1386352.1386373

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