I wanted to implement some convolutional sparse coding procedure similar to one described in this paper : http://cs.nyu.edu/~ylan/files/publi/koray-nips-10.pdf I tried with different frameworks (caffe, eblearn torch) but there seems to be lack of tutorials/support for unsupervised feature learning procedures such as this one. The authors say that this particular article is done using eblearn but I found no unsupervised learning procedure there. Have anyone tried to implement these kind of algorithms, and if so which libraries/frameworks did he use? thx
Implementation of convolutional sparse coding in deep networks frameworks
604 views Asked by user3847160 At
1
There are 1 answers
Related Questions in IMAGE-PROCESSING
- RuntimeError: Given groups=1, weight of size [64, 1, 3, 3], expected input[1, 3, 416, 416] to have 1 channels, but got 3 channels instead
- Unable to open shape_predictor_68_face_landmarks.dat
- When transferring mri t1 to mni152 spaces, the dimensions change and lose information, is that not a problem?
- How to detect the exact boundary of a Sudoku using OpenCV when there are multiple external boundaries?
- Nuke BlinkScript: Why does the convolution kernel scale down the image?
- CV2 Python - image merging based on homography matrix - error in mergeing
- Python pillow library text align center
- Implementing Image Processing for Dimension Measurement in Arduino-based Packaging System
- AI tools for generating clean clipping paths
- efficient way to remove a background from an image in python
- I want to segment an MRI image of the spine and obtain only the vertebrae using Matlab
- Find Gradient Magnitude using skimage.feature.hog module
- AR Image Display Issue
- Using python OpenCV to crop an image based on reference marks
- Python: Generating an image using Multiprocessing freezes
Related Questions in MACHINE-LEARNING
- Trained ML model with the camera module is not giving predictions
- Keras similarity calculation. Enumerating distance between two tensors, which indicates as lists
- How to get content of BLOCK types LAYOUT_TITLE, LAYOUT_SECTION_HEADER and LAYOUT_xx in Textract
- How to predict input parameters from target parameter in a machine learning model?
- The training accuracy and the validation accuracy curves are almost parallel to each other. Is the model overfitting?
- ImportError: cannot import name 'HuggingFaceInferenceAPI' from 'llama_index.llms' (unknown location)
- Which library can replace causal_conv1d in machine learning programming?
- Fine-Tuning Large Language Model on PDFs containing Text and Images
- Sketch Guided Text to Image Generation
- My ICNN doesn't seem to work for any n_hidden
- Optuna Hyperband Algorithm Not Following Expected Model Training Scheme
- How can I resolve this error and work smoothly in deep learning?
- ModuleNotFoundError: No module named 'llama_index.node_parser'
- Difference between model.evaluate and metrics.accuracy_score
- Give Bert an input and ask him to predict. In this input, can Bert apply the first word prediction result to all subsequent predictions?
Related Questions in FEATURE-DETECTION
- Image preparation before SIFT extracting features, or how to make SIFT work stable
- Python open-cv find lines in noisy image
- Separating Bad Matches vs Good matches in Template Matching, especially with Overlapping images (OpenCV)
- Rotational Symmetry Detection Algorithm in 2D point clouds
- How to Stitch Two Images with a Black Background and Different Sizes Using OpenCV, Python
- opencv.js image alignment using rectangles
- goodFeaturesToTrack to obtain point correspondences between images
- How to detect if browser supports "Add to Homescreen" on iOS
- How to detect if page doesn't allow to run external script via Content Security Policy?
- Automatically Determine Best Filter Values for Feature Matching
- Which Feature Selection Techniques for NLP is this represent
- slice a scrabble board?
- Which feature detection algorithm does cv2.Stitcher() use?
- Finding index of feature matching points in Python openCV2
- Feature matching between segmented images
Related Questions in DEEP-LEARNING
- Influence of Unused FFN on Model Accuracy in PyTorch
- How to train a model with CSV files of multiple patients?
- Does tensorflow have a way of calculating input importance for simple neural networks
- What is the alternative to module: tf.keras.preprocessing?
- Which library can replace causal_conv1d in machine learning programming?
- My MSE and MAE are low, but my R2 is not good, how to improve it?
- Sketch Guided Text to Image Generation
- ValueError: The shape of the target variable and the shape of the target value in `variable.assign(value)` must match
- a problem for save and load a pytorch model
- Optuna Hyperband Algorithm Not Following Expected Model Training Scheme
- How can I resolve this error and work smoothly in deep learning?
- Difference between model.evaluate and metrics.accuracy_score
- Integrating Mesonet algorithm with a webUI for deepfake detection model
- How can i edit the "wake-word-detection notebook" on coursera so it fit my own word?
- PyTorch training on M2 GPU slower than Colab CPU
Related Questions in UNSUPERVISED-LEARNING
- Training a an unsupervised regression model using Tensorflow with a custom loss function
- Optimal approach for anomaly detection using One-Class SVM with multiple location IDs
- TypeError: len() of unsized object in pyclustering library
- Why gridsearch or randomsearch not recommended for clustering algorithm?
- Supervised learning? or unsupervised learning? which one is correct?
- How exactly do I have to define the pipeline and the GridSearchCV for an unsupervised learning procedure?
- Alternatives to Model-Based Feature Selection for Unsupervised Clustering
- Unsupervised learning using TSNE and Kmeans
- Orange document keyword extraction
- GAN Training sees Generator Loss go to Zero While Producing Random Images
- In unsupervised GNN, why my parameters not updated and why the loss just noise
- TimeSeriesKMeans combining series or normal features
- How can I remove certain part in each slice of a Nifti image using Python?
- Initialize only some of the centroids in a sklearn KMeans model
- Unsupervised Fine-tuning for ASR
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
I'm trying to do the same. So far i have found a matlab toolbox available at http://www.matthewzeiler.com/software/ (download link at the bottom). 'Convolutional sparse coding' is called 'Deconvolution' by him. The toolbox works, but you have to modify a little bit of code, some matlab functions were renamed.