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Showing results excluding:
  • eurasip.org

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  1. semanticscholar.org

    This work estimates multimodal word representations via the fusion of auditory and visual modalities with the text modality through middle and late fusion of representations with modality weights assigned to each of the unimodal representations. Traditional semantic models are disembodied from the human perception and action. In this work, we attempt to address this problem by grounding ...
  2. [8], image labeling and retrieval [9], etc. The term multimodal fusion is used to indicate the integration of information from multiple modalities. In this work, we fuse text-, audio- and image-based models for the estimation of word semantic similarity. Two main fusion methods are employed here, namely middle and late fusion.
  3. pure.unic.ac.cy

    Sensory-Aware Multimodal Fusion for Word Semantic Similarity Estimation. / Paraskevopoulos, George; Karamanolakis, Giannis; Iosif, Elias et al. 2017. Paper presented at MultiLearn Workshop, Kos island, Greece. Research output: Contribution to conference › Paper › peer-review
    Author:George Paraskevopoulos, Giannis Karamanolakis, Elias Iosif, Aggelos Pikrakis, Alexandros PotamianosPublished:2017
  4. georgepar.github.io

    Sensory-Aware Multimodal Fusion for Word Semantic Similarity Estimation Georgios Paraskevopoulos, Giannis Karamanolakis, Elias Iosif, Aggelos Pikrakis, Alexandros Potamianos MultiLearn2017: Multimodal Processing, Modelingand Learning for Human-Computer/Robot Interaction Workshop 2017. A real-time approach for gesture recognition using the ...
  5. cognitiveresearchjournal.springeropen.com

    Sensory substitution techniques are perceptual and cognitive phenomena used to represent one sensory form with an alternative. Current applications of sensory substitution techniques are typically focused on the development of assistive technologies whereby visually impaired users can acquire visual information via auditory and tactile cross-modal feedback. But despite their evident success in ...
    Author:Tayfun Lloyd-Esenkaya, Vanessa Lloyd-Esenkaya, Eamonn O’Neill, Michael J. ProulxPublished:2020
  6. frontiersin.org

    The estimation or inference of causal structure is thought to be derived by the probabilistic averaging of the common cause prior (or prior knowledge that the signals are coming from a common source) and current sensory evidence according to the Bayesian models (Ernst, 2006, 2012; Körding et al., 2007). Therefore, the extent of binding or ...
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