Books on the topic 'Unsupervised Neural Network'

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1

Baruque, Bruno. Fusion methods for unsupervised learning ensembles. Berlin: Springer, 2010.

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2

Supervised and unsupervised pattern recognition: Feature extraction and computational intelligence. Boca Raton, Fla: CRC Press, 2000.

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3

Whitehead, P. A. Design considerations for a hardware accelerator for Kohonen unsupervised learning in artificial neural networks. Manchester: UMIST, 1997.

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4

Szu, Harold H., and Jack Agee. Independent component analyses, wavelets, unsupervised nano-biomimetic sensors, and neural networks VI: 17-19 March 2008, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2008.

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5

Campin, Michael James. Sigma-Delta modulator fault diagnosis using an unsupervised expert network. 1992.

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6

E, Hinton Geoffrey, and Sejnowski Terrence J, eds. Unsupervised learning: Foundations of neural computation. Cambridge, Mass: MIT Press, 1999.

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7

Sejnowski, Terrence J., and Geoffrey Hinton. Unsupervised Learning: Foundations of Neural Computation. MIT Press, 1999.

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8

Sejnowski, Terrence J., Tomaso A. Poggio, and Geoffrey Hinton. Unsupervised Learning: Foundations of Neural Computation. MIT Press, 2016.

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9

Baruque, Bruno. Fusion Methods for Unsupervised Learning Ensembles. Springer, 2010.

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10

Baruque, Bruno. Fusion Methods for Unsupervised Learning Ensembles. Springer, 2014.

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11

(Editor), Geoffrey Hinton, and Terrence J. Sejnowski (Editor), eds. Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience). The MIT Press, 1999.

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12

Becker, Helen Suzanna. An information-theoretic unsupervised learning algorithm for neural networks. 1993.

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13

H, Szu Harold, International Neural Network Society, and IEEE Neural Networks Society, eds. Independent component analyses, wavelets, unsupervised smart sensors, and neural networks II: 14-15 April 2004, Orlando, Florida, USA. Bellingham, Wash., USA: SPIE, 2004.

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14

H, Szu Harold, Society of Photo-optical Instrumentation Engineers., and Ball Aerospace & Technologies Corporation (USA), eds. Independent component analyses, wavelets, unsupervised smart sensors, and neural networks III: 30 March-1 April, 2005, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2005.

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15

H, Szu Harold, Agee Jack, and Society of Photo-optical Instrumentation Engineers., eds. Independent component analyses, wavelets, unsupervised nano-biomimetic sensors, and neural networks V: 10-13 April 2007, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2007.

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16

Szu, Harold. Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV: 17 and 19-21 April 2006, Kissimmee, Florida, USA. SPIE, 2008.

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17

Leordeanu, Marius. Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks. Springer, 2020.

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18

Leordeanu, Marius. Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision Using Graph-Based Techniques and Deep Neural Networks. Springer International Publishing AG, 2021.

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