MX2020012276A - Sistemas y metodos para unificar modelos estadisticos para diferentes modalidades de datos. - Google Patents
Sistemas y metodos para unificar modelos estadisticos para diferentes modalidades de datos.Info
- Publication number
- MX2020012276A MX2020012276A MX2020012276A MX2020012276A MX2020012276A MX 2020012276 A MX2020012276 A MX 2020012276A MX 2020012276 A MX2020012276 A MX 2020012276A MX 2020012276 A MX2020012276 A MX 2020012276A MX 2020012276 A MX2020012276 A MX 2020012276A
- Authority
- MX
- Mexico
- Prior art keywords
- modality
- input data
- feature vector
- statistical model
- unify
- Prior art date
Links
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2155—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0495—Quantised networks; Sparse networks; Compressed networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/088—Non-supervised learning, e.g. competitive learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862671068P | 2018-05-14 | 2018-05-14 | |
| US201862678074P | 2018-05-30 | 2018-05-30 | |
| PCT/US2019/031255 WO2019221985A1 (en) | 2018-05-14 | 2019-05-08 | Systems and methods for unifying statistical models for different data modalities |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2020012276A true MX2020012276A (es) | 2021-01-29 |
Family
ID=66641492
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2020012276A MX2020012276A (es) | 2018-05-14 | 2019-05-08 | Sistemas y metodos para unificar modelos estadisticos para diferentes modalidades de datos. |
Country Status (10)
| Country | Link |
|---|---|
| US (4) | US10956787B2 (enExample) |
| EP (1) | EP3794512A1 (enExample) |
| JP (1) | JP7317050B2 (enExample) |
| KR (1) | KR20210010505A (enExample) |
| CN (1) | CN112119411A (enExample) |
| AU (1) | AU2019269312A1 (enExample) |
| BR (1) | BR112020022270A2 (enExample) |
| CA (1) | CA3098447A1 (enExample) |
| MX (1) | MX2020012276A (enExample) |
| WO (1) | WO2019221985A1 (enExample) |
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-
2019
- 2019-05-08 CN CN201980032862.3A patent/CN112119411A/zh active Pending
- 2019-05-08 US US16/406,348 patent/US10956787B2/en active Active
- 2019-05-08 WO PCT/US2019/031255 patent/WO2019221985A1/en not_active Ceased
- 2019-05-08 MX MX2020012276A patent/MX2020012276A/es unknown
- 2019-05-08 BR BR112020022270-4A patent/BR112020022270A2/pt not_active IP Right Cessation
- 2019-05-08 AU AU2019269312A patent/AU2019269312A1/en not_active Abandoned
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- 2019-05-08 CA CA3098447A patent/CA3098447A1/en active Pending
- 2019-05-08 KR KR1020207035725A patent/KR20210010505A/ko not_active Ceased
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| WO2019221985A1 (en) | 2019-11-21 |
| US20190347523A1 (en) | 2019-11-14 |
| CA3098447A1 (en) | 2019-11-21 |
| BR112020022270A2 (pt) | 2021-02-23 |
| KR20210010505A (ko) | 2021-01-27 |
| US11875267B2 (en) | 2024-01-16 |
| CN112119411A (zh) | 2020-12-22 |
| US20240232633A1 (en) | 2024-07-11 |
| AU2019269312A1 (en) | 2020-11-19 |
| US10956787B2 (en) | 2021-03-23 |
| US20230039210A1 (en) | 2023-02-09 |
| US11494589B2 (en) | 2022-11-08 |
| JP2021524099A (ja) | 2021-09-09 |
| JP7317050B2 (ja) | 2023-07-28 |
| EP3794512A1 (en) | 2021-03-24 |
| US20210192290A1 (en) | 2021-06-24 |
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