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公开(公告)号:US11281726B2
公开(公告)日:2022-03-22
申请号:US15997548
申请日:2018-06-04
Applicant: Palantir Technologies Inc.
Inventor: Christopher Martin , Abdulaziz Alghunaim , Sri Krishna Vempati
IPC: G06F16/9032 , G06F16/901 , G06F17/14 , G06F17/18 , G06K9/00 , G06K9/62
Abstract: Techniques allow a computer to responsively search for graph shapes similar to a user-selected graph shape much faster. Data can be pre-processed and stored as vectors, along with an index. The index can be used to find similar vectors that represent graph shapes similar to a user-selected shape in a computationally efficient manner. Vectors of multiple resolutions can be used to anticipate different sizes of a graph that a user can select, and comparisons can be repeated and refined. When a satisfactorily small number of candidate vectors are determined, more computationally intensive distance calculations can be performed on data reconstructed from the vectors.
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公开(公告)号:US20220164394A1
公开(公告)日:2022-05-26
申请号:US17650923
申请日:2022-02-14
Applicant: Palantir Technologies Inc.
Inventor: Christopher Martin , Abdulaziz Alghunaim , Sri Krishna Vempati
IPC: G06F16/9032 , G06K9/00 , G06F16/901 , G06F17/14 , G06F17/18 , G06K9/62
Abstract: Techniques allow a computer to responsively search for graph shapes similar to a user-selected graph shape much faster. Data can be pre-processed and stored as vectors, along with an index. The index can be used to find similar vectors that represent graph shapes similar to a user-selected shape in a computationally efficient manner. Vectors of multiple resolutions can be used to anticipate different sizes of a graph that a user can select, and comparisons can be repeated and refined. When a satisfactorily small number of candidate vectors are determined, more computationally intensive distance calculations can be performed on data reconstructed from the vectors.
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公开(公告)号:US12099570B2
公开(公告)日:2024-09-24
申请号:US17650923
申请日:2022-02-14
Applicant: Palantir Technologies Inc.
Inventor: Christopher Martin , Abdulaziz Alghunaim , Sri Krishna Vempati
IPC: G06F16/901 , G06F16/9032 , G06F17/14 , G06F17/18 , G06F18/00 , G06F18/2413
CPC classification number: G06F18/00 , G06F16/901 , G06F16/90328 , G06F17/14 , G06F17/18 , G06F18/24147 , G06F2218/08 , G06F2218/16
Abstract: Techniques allow a computer to responsively search for graph shapes similar to a user-selected graph shape much faster. Data can be pre-processed and stored as vectors, along with an index. The index can be used to find similar vectors that represent graph shapes similar to a user-selected shape in a computationally efficient manner. Vectors of multiple resolutions can be used to anticipate different sizes of a graph that a user can select, and comparisons can be repeated and refined. When a satisfactorily small number of candidate vectors are determined, more computationally intensive distance calculations can be performed on data reconstructed from the vectors.
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公开(公告)号:US20190171775A1
公开(公告)日:2019-06-06
申请号:US15997548
申请日:2018-06-04
Applicant: Palantir Technologies Inc.
Inventor: Christopher Martin , Abdulaziz Alghunaim , Sri Krishna Vempati
Abstract: Techniques allow a computer to responsively search for graph shapes similar to a user-selected graph shape much faster. Data can be pre-processed and stored as vectors, along with an index. The index can be used to find similar vectors that represent graph shapes similar to a user-selected shape in a computationally efficient manner. Vectors of multiple resolutions can be used to anticipate different sizes of a graph that a user can select, and comparisons can be repeated and refined. When a satisfactorily small number of candidate vectors are determined, more computationally intensive distance calculations can be performed on data reconstructed from the vectors.
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