BR9813585A - Visualização e auto-organização de dadosmultidimensionais através de mapeamentoortogonal equalizado - Google Patents
Visualização e auto-organização de dadosmultidimensionais através de mapeamentoortogonal equalizadoInfo
- Publication number
- BR9813585A BR9813585A BR9813585-6A BR9813585A BR9813585A BR 9813585 A BR9813585 A BR 9813585A BR 9813585 A BR9813585 A BR 9813585A BR 9813585 A BR9813585 A BR 9813585A
- Authority
- BR
- Brazil
- Prior art keywords
- mapping
- visualization
- organization
- self
- multidimensional data
- Prior art date
Links
- 238000013507 mapping Methods 0.000 title abstract 5
- 238000012800 visualization Methods 0.000 title abstract 3
- 239000011159 matrix material Substances 0.000 abstract 3
- 238000013528 artificial neural network Methods 0.000 abstract 1
- 238000013499 data model Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
- 210000002569 neuron Anatomy 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
- G06V30/194—References adjustable by an adaptive method, e.g. learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
- G06F18/21355—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis nonlinear criteria, e.g. embedding a manifold in a Euclidean space
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Complex Calculations (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
- Feedback Control In General (AREA)
- Image Generation (AREA)
Abstract
"VISUALIZAçãO E AUTO-ORGANIZAçãO DE DADOSMULTIDIMENSIONAIS ATRAVéS DE MAPEAMENTOORTOGONAL EQUALIZADO". O sistema em questão provê ummapeamento de modelos de dados de dimensão reduzida. Omapeamento é aplicado através de uma rede neural dealimentação à frente de única camada oculta, convencional, comneurónios não lineares. De acordo com um aspecto da presenteinvenção, o sistema funciona a fim de equalizar e tornar ortogonaisos sinais de alimentação de saída de dimensão inferior por meio daredução da matriz de variação conjunta deste sinais dealimentação de saída a uma forma de matriz diagonal ou demúltiplos constantes da matriz identidade. A presente invençãopermite uma visualização de grandes corpos de complexos dedados de múltiplas dimensões, segundo uma aproximação de baixadimensão de forma relativamente, "topologicamente correta", parafins de redução de uma forma randómica associada com outrosmétodos de propósitos similares e para manter, ao mesmo tempo, omapeamento de uma maneira eficiente em relação ao computador.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US08/991,031 US6134537A (en) | 1995-09-29 | 1997-12-15 | Visualization and self organization of multidimensional data through equalized orthogonal mapping |
PCT/US1998/026477 WO1999031624A1 (en) | 1997-12-15 | 1998-12-14 | Visualization and self-organization of multidimensional data through equalized orthogonal mapping |
Publications (1)
Publication Number | Publication Date |
---|---|
BR9813585A true BR9813585A (pt) | 2001-12-26 |
Family
ID=25536780
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR9813585-6A BR9813585A (pt) | 1997-12-15 | 1998-12-14 | Visualização e auto-organização de dadosmultidimensionais através de mapeamentoortogonal equalizado |
Country Status (12)
Country | Link |
---|---|
US (3) | US6134537A (pt) |
EP (1) | EP1038261B1 (pt) |
JP (1) | JP3520048B2 (pt) |
KR (1) | KR100343533B1 (pt) |
CN (1) | CN1165869C (pt) |
AT (1) | ATE368904T1 (pt) |
AU (1) | AU737276B2 (pt) |
BR (1) | BR9813585A (pt) |
CA (1) | CA2312902C (pt) |
DE (1) | DE69838181T2 (pt) |
IL (1) | IL136524A (pt) |
WO (1) | WO1999031624A1 (pt) |
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-
1997
- 1997-12-15 US US08/991,031 patent/US6134537A/en not_active Expired - Lifetime
-
1998
- 1998-12-14 BR BR9813585-6A patent/BR9813585A/pt not_active IP Right Cessation
- 1998-12-14 JP JP2000539447A patent/JP3520048B2/ja not_active Expired - Fee Related
- 1998-12-14 KR KR1020007006564A patent/KR100343533B1/ko not_active IP Right Cessation
- 1998-12-14 DE DE69838181T patent/DE69838181T2/de not_active Expired - Lifetime
- 1998-12-14 IL IL13652498A patent/IL136524A/en not_active IP Right Cessation
- 1998-12-14 CN CNB988122561A patent/CN1165869C/zh not_active Expired - Fee Related
- 1998-12-14 AT AT98963891T patent/ATE368904T1/de not_active IP Right Cessation
- 1998-12-14 EP EP98963891A patent/EP1038261B1/en not_active Expired - Lifetime
- 1998-12-14 CA CA002312902A patent/CA2312902C/en not_active Expired - Fee Related
- 1998-12-14 AU AU19126/99A patent/AU737276B2/en not_active Ceased
- 1998-12-14 WO PCT/US1998/026477 patent/WO1999031624A1/en active IP Right Grant
-
2000
- 2000-05-02 US US09/562,777 patent/US6212509B1/en not_active Expired - Lifetime
-
2001
- 2001-03-23 US US09/816,909 patent/US6907412B2/en not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
DE69838181D1 (de) | 2007-09-13 |
US20010032198A1 (en) | 2001-10-18 |
US6212509B1 (en) | 2001-04-03 |
CA2312902A1 (en) | 1999-06-24 |
IL136524A (en) | 2004-06-01 |
EP1038261B1 (en) | 2007-08-01 |
EP1038261A1 (en) | 2000-09-27 |
ATE368904T1 (de) | 2007-08-15 |
AU1912699A (en) | 1999-07-05 |
AU737276B2 (en) | 2001-08-16 |
IL136524A0 (en) | 2001-06-14 |
CA2312902C (en) | 2005-02-08 |
KR20010033181A (ko) | 2001-04-25 |
KR100343533B1 (ko) | 2002-07-20 |
DE69838181T2 (de) | 2008-04-30 |
JP2002509303A (ja) | 2002-03-26 |
US6907412B2 (en) | 2005-06-14 |
CN1282435A (zh) | 2001-01-31 |
JP3520048B2 (ja) | 2004-04-19 |
US6134537A (en) | 2000-10-17 |
CN1165869C (zh) | 2004-09-08 |
WO1999031624A1 (en) | 1999-06-24 |
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