Skip to main content

A dictionary learning package for classification

Project description

# DICTOL - A Discriminative dictionary Learning Toolbox for Classification (Python 2.7 version).
_This Toolbox is a part of our [LRSDL project](http://signal.ee.psu.edu/lrsdl.html)._

**Related publications:**

1. Tiep H. Vu, Vishal Monga. "Learning a low-rank shared dictionary for object classification." *International Conference on Image Processing (ICIP)* 2016. [[paper]](http://arxiv.org/abs/1602.00310).

2. Tiep H. Vu, Vishal Monga. "Fast Low-rank Shared Dictionary Learning for Image Classification." *IEEE Transactions on Image Processing* 26.11(2017):5160-5175 [[paper]](https://arxiv.org/pdf/1610.08606.pdf).

**Author: [Tiep Vu](http://www.personal.psu.edu/thv102/)**

_This repository contains the following methods: SRC, ODL, DLSI, FDDL, COPAR, LRSDL_

If you experience any bugs, please let me know via the [**Issues**](https://github.com/tiepvupsu/DICTOL_python/issues) tab. I'd really appreciate and fix the error ASAP. Thank you.

For more information, please see its corresponding [**MATLAB version**](https://github.com/tiepvupsu/DICTOL).

# Packages required

1. numpy
2. scipy


# Demo

Run:
```
python demo.py
```

from your command line.

# Contact information
```
Tiep Vu:
+ thv102@psu.edu
+ http://www.personal.psu.edu/thv102/
```

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dictol-0.0.4.tar.gz (16.7 MB view details)

Uploaded Source

File details

Details for the file dictol-0.0.4.tar.gz.

File metadata

  • Download URL: dictol-0.0.4.tar.gz
  • Upload date:
  • Size: 16.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.3 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.19.4 CPython/2.7.13

File hashes

Hashes for dictol-0.0.4.tar.gz
Algorithm Hash digest
SHA256 c8c81cf2665009ee57768f9bd9474acfd94d46c474b524a0c088fcc55786352d
MD5 efed4c6c04e067ba9e4e8f35e736a242
BLAKE2b-256 e68d5fe98aa9b57d4f8b7aff94a478bb6092486767a6237bc75ffa3f31119a66

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page