User FourierFlux

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Are PAC learning and VC dimension relevant to machine learning in practice?

Mar 11 at 4:40 nbro♦ 22.1k

1

4

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1

answer

117

views

What are the differences between artificial neural networks and other function approximators?

neural-networks machine-learning comparison function-approximation

Jun 15 at 23:05 Community♦ 1

3

votes

1

answer

61

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What is the intuition behind grid-based solutions to POMDPs?

markov-decision-process pomdp

Apr 5 at 15:06 nbro♦ 22.1k

1

3

votes

0

answers

50

views

How to deal with approximate states when doing path planning?

reinforcement-learning robotics path-planning control-theory

Mar 11 at 2:57 nbro♦ 22.1k

2

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21

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If random rotations are included in the data augmentation process, how are the new bounding boxes calculated?

deep-learning object-detection object-recognition yolo data-augmentation

Nov 15 at 22:43 nbro♦ 22.1k

2

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2

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65

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Does a fully convolutional network share the same translation invariance properties we get from networks that use max-pooling?

neural-networks deep-learning convolutional-neural-networks computer-vision fully-convolutional-networks

Nov 10 at 22:03 Community♦ 1

1

2

votes

1

answer

119

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Is RL just a less rigorous version of stochastic approximation theory?

reinforcement-learning comparison

May 22 at 16:51 nbro♦ 22.1k

1

2

votes

1

answer

52

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After having selected the best model with cross-validation, for how long should I train it?

machine-learning deep-learning training hyperparameter-optimization cross-validation

Apr 8 at 23:08 ted 236

1

2

votes

1

answer

84

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Is reinforcement learning suited for real-time systems?

reinforcement-learning applications real-time

Feb 29 at 12:35 Aray Karjauv 326

1

vote

1

answer

50

views

Are Markov Random Fields and Conditional Random Fields still used in computer vision?

computer-vision state-of-the-art conditional-random-field markov-random-field

Nov 17 at 9:02 Community♦ 1

1

vote

1

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63

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Is there any real-time computer vision system that can learn to detect new objects of new classes?

machine-learning computer-vision online-learning incremental-learning

Aug 18 at 14:48 nbro♦ 22.1k

1

vote

0

answers

80

views

Combining clustering and deep learning for computer vision

deep-learning computer-vision clustering

Jul 27 at 18:19 FourierFlux 620

1

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0

answers

42

views

How is depth perception (e.g. in autonomous driving) addressed without using a Lidar or Radar unit?

deep-learning computer-vision applications

Jul 9 at 11:48 nbro♦ 22.1k

1

vote

0

answers

140

views

Can we force the initial state of a neural network to produce an “unknown” class?

deep-learning convolutional-neural-networks computer-vision

Jun 6 at 0:41 nbro♦ 22.1k

1

vote

0

answers

50

views

What is the relationship between PAC learning and classic parameter estimation theorems?

machine-learning comparison learning-theory pac-learning statistics

Apr 26 at 18:55 nbro♦ 22.1k

1

vote

0

answers

39

views

Why can the core reinforcement learning algorithms be applied to POMDPs?

reinforcement-learning markov-decision-process pomdp

Apr 3 at 20:22 nbro♦ 22.1k

1

vote

1

answer

94

views

How is the depth of filters of hidden layers determined?

deep-learning convolutional-neural-networks convolution

Feb 2 at 21:19 nbro♦ 22.1k

1

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0

answers

39

views

How to Layer based Feature extraction?

neural-networks machine-learning deep-learning

Jan 12 at 6:04 FourierFlux 620

0

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0

answers

42

views

Deep Learning based image restoration using multiple frames

deep-learning computer-vision signal-processing

Oct 24 at 19:30 FourierFlux 620

0

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0

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34

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Deep learning based physics engine

deep-learning

Sep 23 at 22:23 FourierFlux 620

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0

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13

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What is the current way robots can assess and traverse difficult obstacles in 3d space?

ai-design computer-vision robotics path-planning

Aug 11 at 10:08 nbro♦ 22.1k

0

votes

0

answers

14

views

How does YOLO handle non-class objects?

deep-learning computer-vision

Aug 10 at 5:48 FourierFlux 620

0

votes

0

answers

16

views

Is there a way to estimate odometry using a single camera without a depth map?

computer-vision odometry

Aug 8 at 10:58 nbro♦ 22.1k

0

votes

0

answers

22

views

Computational difference between ANN and Pattern Matching

deep-learning computer-vision deep-neural-networks

Jul 1 at 22:17 FourierFlux 620

0

votes

0

answers

29

views

Regularization to enforce feature learning

neural-networks machine-learning convolutional-neural-networks

May 26 at 1:26 FourierFlux 620

0

votes

0

answers

32

views

Why would you ignore episodes that loop back on the starting state in MCTS?

reinforcement-learning monte-carlo-tree-search

Apr 23 at 11:19 nbro♦ 22.1k

0

votes

0

answers

58

views

Intuition behind single-shot object detection

deep-learning computer-vision yolo

Mar 3 at 4:14 FourierFlux 620

0

votes

0

answers

22

views

RNN/LSTM with a large amounts of data

recurrent-neural-networks long-short-term-memory time-series

Feb 15 at 2:07 FourierFlux 620

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28 Questions

Are PAC learning and VC dimension relevant to machine learning in practice?

What are the differences between artificial neural networks and other function approximators?

What is the intuition behind grid-based solutions to POMDPs?

How to deal with approximate states when doing path planning?

If random rotations are included in the data augmentation process, how are the new bounding boxes calculated?

Does a fully convolutional network share the same translation invariance properties we get from networks that use max-pooling?

Is RL just a less rigorous version of stochastic approximation theory?

After having selected the best model with cross-validation, for how long should I train it?

Is reinforcement learning suited for real-time systems?

Are Markov Random Fields and Conditional Random Fields still used in computer vision?

Is there any real-time computer vision system that can learn to detect new objects of new classes?

Combining clustering and deep learning for computer vision

How is depth perception (e.g. in autonomous driving) addressed without using a Lidar or Radar unit?

Can we force the initial state of a neural network to produce an “unknown” class?

What is the relationship between PAC learning and classic parameter estimation theorems?

Why can the core reinforcement learning algorithms be applied to POMDPs?

How is the depth of filters of hidden layers determined?

How to Layer based Feature extraction?

Deep Learning based image restoration using multiple frames

Deep learning based physics engine

What is the current way robots can assess and traverse difficult obstacles in 3d space?

How does YOLO handle non-class objects?

Is there a way to estimate odometry using a single camera without a depth map?

Computational difference between ANN and Pattern Matching

Regularization to enforce feature learning

Why would you ignore episodes that loop back on the starting state in MCTS?

Intuition behind single-shot object detection

RNN/LSTM with a large amounts of data