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Hello, I have some questions regarding the SVM classifier training part of your work while I am replicating it. According to your code, you used a dataset named test.txt in addition to train.txt durin…
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Hi everybody,
I am implementing the paper about the deep-poselets, it is the next paper published by Bourdev and Malik (http://arxiv.org/pdf/1407.0717v1.pdf). I created the deep-net and I trained it a…
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I am struggling the last days trying to find way to train svm with my own data. My issue is how to change properly svm kernel. I found in your code svmlight.h with svm parameters. When I am trying to …
ghost updated
8 years ago
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Hello,
Thanks for the nice tool, but I want to ask how to train the svm model, I tried training the model using lcas_simple_data.zip but always got "train failed", and the console got "mv cannot st…
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The hyperparameter values for SVC were obtained by performing GridSearchCV on the training set.
The code snippets given below can be used to validate the findings:
For Training SVM - with Data …
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Hi, thanks for your job. I have some question about the svm training and testing precedure.
According to your paper, you randomly rotate the pointcloud and extract the features. Dose it mean that
ea…
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#### Configuration
- Version of DeepDetect:
- [X] Locally compiled on:
- [X] Ubuntu 14.04 LTS
- [ ] Mac OSX
- [ ] Other:
- [ ] Docker
- [ ] Amazon AMI
- Com…
YaYaB updated
4 years ago
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[Koala-36M](https://koala36m.github.io/) proposes a significantly improved model for scene transition detection (paper: [HTML](https://arxiv.org/html/2410.08260v1) or [PDF](https://arxiv.org/pdf/2410.…
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When creating a One-Class SVM classifier (e.g. for the following data)
do {
try trainData.addDataPoint(input: [0.2, 0.9], dataClass:1)
try trainData.addDataPoint(input: [0.…