New book "Advances in Independent Component Analysis and Learning Machines"
The very latest advances in independent component analysis and machine learning
Advances in Independent Component Analysis and Learning Machines (Elsevier), edited by Ella Bingham, Samuel Kaski, Jorma Laaksonen and Jouko Lampinen, is collected in honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA). The book reviews recent advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining.
Examples of topics which have developed from the advances of ICA and machine learning, which are covered in the book are:
- A unifying probabilistic model for PCA and ICA
- Optimization methods for matrix decompositions
- Insights into the FastICA algorithm
- Unsupervised deep learning
- Machine vision, and image and video retrieval
See more details on Aalto Distinguished Professor Erkki Oja at
The book is available via Elsevier:
More information from: Ella Bingham firstname.lastname@aalto.fi
Read more news
Time crystals could power future quantum computers
A time crystal, a long-life quantum system approaching perpetual motion, has been hooked up to its environment for the first time, unlocking an intriguing way to increase quantum computational and sensing power.
Glitch artwork challenges to see art in a different light
Laura Könönen's sculpture was unveiled on 14 October at the Otaniemi campus.
Nanoparticles in Functional Textiles
Dr. Md. Reazuddin Repon, Postdoctoral Researcher at the Textile Chemistry Group, Department of Bioproducts and Biosystems, Aalto University, has contributed as an editor to a newly published academic volume titled “Nanoparticles Integrated Functional Textiles”.