Pattern Recognition (72)

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32:52

Was This Review Helpful to You? It Depends! Context and Voting Patterns in Onlin...

Ruben Sipos

2014-07-22

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2848 Views

Lecture
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03:44

Pattern Recognition for Neuroimaging Toolbox

Jessica Schrouff

2013-08-06

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2687 Views

Demonstration
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06:10

Autonomously Adapting Range Data Patterns for Object Detection

Theodoros Varvadoukas

2013-08-06

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2207 Views

Demonstration
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01:02:47

Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, S...

David MacKay

2012-11-05

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17804 Views

Lecture
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01:27:15

Lecture 15: Data Modelling With Neural Networks (I): Feedforward Networks: The C...

David MacKay

2012-11-05

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15736 Views

Lecture
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48:35

Lecture 9: A Noisy Channel Coding Gem, And An Introduction To Bayesian Inference...

David MacKay

2012-11-05

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14891 Views

Lecture
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51:08

Lecture 2: Entropy and Data Compression (I): Introduction to Compression, Infor...

David MacKay

2012-11-05

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36478 Views

Lecture
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01:36:32

Lecture 16: Data Modelling With Neural Networks (II): Content-Addressable Memori...

David MacKay

2012-11-05

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13316 Views

Lecture
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46:53

Lecture 7: Noisy Channel Coding (II): The Capacity of a Noisy Channel

David MacKay

2012-11-05

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13894 Views

Lecture
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01:15:52

Lecture 10: An Introduction To Bayesian Inference (II): Inference Of Parameters ...

David MacKay

2012-11-05

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21200 Views

Lecture
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46:34

Lecture 14: Approximating Probability Distributions (IV): Variational Methods

David MacKay

2012-11-05

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14772 Views

Lecture
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54:41

Lecture 6: Noisy Channel Coding (I): Inference and Information Measures for Nois...

David MacKay

2012-11-05

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16449 Views

Lecture
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01:01:51

Lecture 1: Introduction to Information Theory

David MacKay

2012-11-05

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145676 Views

Lecture
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01:23:47

Lecture 12: Approximating Probability Distributions (II): Monte Carlo Methods (I...

David MacKay

2012-11-05

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21024 Views

Lecture
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51:00

Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem an...

David MacKay

2012-11-05

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22361 Views

Lecture
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01:08:58

Lecture 8: Noisy Channel Coding (III): The Noisy-Channel Coding Theorem

David MacKay

2012-11-05

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14407 Views

Lecture
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56:55

Lecture 11: Approximating Probability Distributions (I): Clustering As An Exampl...

David MacKay

2012-11-05

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13484 Views

Lecture
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56:56

Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, ...

David MacKay

2012-11-05

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19733 Views

Lecture
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01:47:56

Lecture 13: Approximating Probability Distributions (III): Monte Carlo Methods (...

David MacKay

2012-11-05

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13807 Views

Lecture
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02:57

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroi...

Jieping Ye

2012-09-06

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3305 Views

Demonstration