I'm happy to say that I've finally put my thesis online and updated my Publications page.
I should have done that earlier but it slipped my mind, so there it is!
My thesis (Deep Learning Feature Extraction for Image Processing) is now available to download. Here is the abstract of the thesis:
In this thesis, we propose to use methodologies that automatically learn how to extract relevant features from images. We are especially interested in evaluating how these features compare against handcrafted features. More precisely, we are interested in the unsupervised training that is used for the Restricted Boltzmann Machine (RBM) and Convolutional RBM (CRBM) models. These models relaunched the Deep Learning interest of the last decade. During the time of this thesis, the auto-encoders approach, especially Convolutional Auto-Encoders (CAE) have been used more and more. Therefore, one objective of this thesis is also to compare the CRBM approach with the CAE approach.
The scope of this work is defined by several machine learning tasks. The first one, handwritten digit recognition, is analysed to see how much the unsupervised pretraining technique introduced with the Deep Belief Network (DBN) model improves the training of neural networks. The second, detection and recognition of Sudoku in images, is evaluating the efficiency of DBN and Convolutional DBN (CDBN) models for classification of images of poor quality. Finally, features are learned fully unsupervised from images for a keyword spotting task and are compared against well-known handcrafted features. Moreover, the thesis was also oriented around a software engineering axis. Indeed, a complete machine learning framework was developed during this thesis to explore possible optimizations and possible algorithms in order to train the tested models as fast as possible.
If you are interested, you can:
I hope this will interest a few of you! As always, if you have any question, don't hesitate to let me a comment ;)
As for the current projects, I'm still currently working on the next version of budgetwarrior, but I don't have any expected release date. It will depend on much time I'm able to put to the project.