User FourierFlux

7 votes

1 answer

368 views

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

asked Dec 29, 2019 at 7:19

4 votes

1 answer

162 views

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

neural-networks machine-learning comparison function-approximation

asked May 8, 2020 at 19:38

3 votes

0 answers

56 views

How to deal with approximate states when doing path planning?

reinforcement-learning robotics path-planning control-theory

asked Mar 8, 2020 at 22:28

3 votes

3 answers

309 views

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

deep-learning convolutional-neural-networks pooling fully-convolutional-networks max-pooling

asked Feb 21, 2020 at 0:18

3 votes

1 answer

124 views

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

markov-decision-process pomdp

asked Apr 5, 2020 at 1:41

3 votes

0 answers

32 views

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

asked Nov 15, 2020 at 22:22

2 votes

0 answers

106 views

How are nested bounding boxes handled in object detection (and in particular in the case of the SSD)?

deep-learning computer-vision object-detection non-max-suppression single-shot-multibox-detector

asked Jan 4, 2021 at 6:26

2 votes

1 answer

66 views

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

asked Apr 8, 2020 at 21:00

2 votes

1 answer

228 views

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

reinforcement-learning comparison

asked Apr 14, 2020 at 23:46

2 votes

0 answers

73 views

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

machine-learning comparison computational-learning-theory pac-learning statistics

asked Apr 26, 2020 at 2:31

2 votes

1 answer

116 views

Is reinforcement learning suited for real-time systems?

reinforcement-learning applications real-time

asked Feb 29, 2020 at 3:30

2 votes

1 answer

50 views

How does YOLO handle non-class objects?

deep-learning computer-vision object-detection yolo

asked Aug 10, 2020 at 5:48

1 vote

1 answer

71 views

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

asked Aug 13, 2020 at 20:19

1 vote

0 answers

87 views

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

reinforcement-learning markov-decision-process pomdp

asked Apr 3, 2020 at 19:46

1 vote

0 answers

143 views

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

deep-learning convolutional-neural-networks computer-vision

asked Jun 6, 2020 at 0:30

1 vote

0 answers

53 views

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

deep-learning computer-vision applications

asked Jul 9, 2020 at 3:45

1 vote

0 answers

82 views

Combining clustering and deep learning for computer vision

deep-learning computer-vision clustering

asked Jul 27, 2020 at 18:19

1 vote

0 answers

43 views

How to Layer based Feature extraction?

neural-networks machine-learning deep-learning

asked Jan 12, 2020 at 6:04

1 vote

1 answer

320 views

How is the depth of the filters of convolutional layers determined? [duplicate]

convolutional-neural-networks filters convolutional-layers convolution-arithmetic feature-maps

asked Jan 31, 2020 at 20:01

1 vote

0 answers

24 views

In anchor based object detection, why don't the anchors share the same weights?

computer-vision object-detection object-recognition yolo faster-r-cnn

asked Sep 18, 2021 at 23:47

1 vote

1 answer

83 views

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

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

asked Oct 15, 2020 at 0:41

0 votes

0 answers

53 views

Deep Learning based image restoration using multiple frames

deep-learning computer-vision signal-processing

asked Oct 24, 2020 at 19:30

0 votes

0 answers

31 views

Encoding Image Priors into CNN

machine-learning deep-learning computer-vision image-recognition

asked Nov 28, 2021 at 20:55

0 votes

0 answers

93 views

Intuition behind single-shot object detection

deep-learning computer-vision yolo

asked Mar 3, 2020 at 4:14

0 votes

0 answers

42 views

Deep learning based physics engine

deep-learning

asked Sep 23, 2020 at 22:23

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25 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?

How to deal with approximate states when doing path planning?

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

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

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

How are nested bounding boxes handled in object detection (and in particular in the case of the SSD)?

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

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

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

Is reinforcement learning suited for real-time systems?

How does YOLO handle non-class objects?

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

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

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

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

Combining clustering and deep learning for computer vision

How to Layer based Feature extraction?

How is the depth of the filters of convolutional layers determined? [duplicate]

In anchor based object detection, why don't the anchors share the same weights?

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

Deep Learning based image restoration using multiple frames

Encoding Image Priors into CNN

Intuition behind single-shot object detection

Deep learning based physics engine