发明授权
- 专利标题: Methods and apparatus for multi-modal prediction using a trained statistical model
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申请号: US16407033申请日: 2019-05-08
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公开(公告)号: US11971963B2公开(公告)日: 2024-04-30
- 发明人: Umut Eser , Michael Meyer
- 申请人: Quantum-Si Incorporated
- 申请人地址: US CT Guilford
- 专利权人: Quantum-Si Incorporated
- 当前专利权人: Quantum-Si Incorporated
- 当前专利权人地址: US CT Branford
- 代理机构: Wolf, Greenfield & Sacks, P.C.
- 主分类号: G06F18/25
- IPC分类号: G06F18/25 ; G06F18/2135 ; G06F18/214 ; G06F18/22
摘要:
Methods and apparatus for predicting an association between input data in a first modality and data in a second modality using a statistical model trained to represent interactions between data having a plurality of modalities including the first modality and the second modality, the statistical model comprising a plurality of encoders and decoders, each of which is trained to process data for one of the plurality of modalities, and a joint-modality representation coupling the plurality of encoders and decoders. The method comprises selecting, based on the first modality and the second modality, an encoder/decoder pair or a pair of encoders, from among the plurality of encoders and decoders, and processing the input data with the joint-modality representation and the selected encoder/decoder pair or pair of encoders to predict the association between the input data and the data in the second modality.
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