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
Research Council of Finland establishes a Center of Excellence in Quantum Materials
The Centre, called QMAT, creates new materials to power the quantum technology of coming decades.
Major funding powers development of next-generation machine technology aimed at productivity leap in export sectors
The BEST research project is developing new types of sealing, bearing, and damping technology.
The TAIMI project builds an equal working life – a six-year consortium project seeks solutions to recruitment and skill challenges
Artificial intelligence (AI) is changing skill requirements, the population is aging, and the labor shortage is deepening. Meanwhile, the potential of international experts often remains unused in Finland. These challenges in working life are addressed by the six-year TAIMI project funded by the Strategic Research Council, and implemented by a broad consortium.