How to infer the convolutional structure for non-image data?
$begingroup$
Imagine I have a large dataset of labeled images, and I process each image by mixing up the pixels. Each image is processed in exactly the same way (with a pixel-to-pixel table). Is it possible to train successfully an image recognition algorithm?
If there is no way to infer which pixel is structurally linked to which other pixel (implicit information when the images are not mixed up), can convolutions still be used? If yes, how so?
image-classification convolution
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Imagine I have a large dataset of labeled images, and I process each image by mixing up the pixels. Each image is processed in exactly the same way (with a pixel-to-pixel table). Is it possible to train successfully an image recognition algorithm?
If there is no way to infer which pixel is structurally linked to which other pixel (implicit information when the images are not mixed up), can convolutions still be used? If yes, how so?
image-classification convolution
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Imagine I have a large dataset of labeled images, and I process each image by mixing up the pixels. Each image is processed in exactly the same way (with a pixel-to-pixel table). Is it possible to train successfully an image recognition algorithm?
If there is no way to infer which pixel is structurally linked to which other pixel (implicit information when the images are not mixed up), can convolutions still be used? If yes, how so?
image-classification convolution
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Imagine I have a large dataset of labeled images, and I process each image by mixing up the pixels. Each image is processed in exactly the same way (with a pixel-to-pixel table). Is it possible to train successfully an image recognition algorithm?
If there is no way to infer which pixel is structurally linked to which other pixel (implicit information when the images are not mixed up), can convolutions still be used? If yes, how so?
image-classification convolution
image-classification convolution
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
SebDLSebDL
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
SebDLSebDL
1
asked 2 days ago
SebDLSebDL
1
1
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
SebDL is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
SebDL is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f46643%2fhow-to-infer-the-convolutional-structure-for-non-image-data%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
SebDL is a new contributor. Be nice, and check out our Code of Conduct.
SebDL is a new contributor. Be nice, and check out our Code of Conduct.
SebDL is a new contributor. Be nice, and check out our Code of Conduct.
SebDL is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f46643%2fhow-to-infer-the-convolutional-structure-for-non-image-data%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
