Mini-workshop on Data Fusion Methods and Applications, August 12
Spectroscopy and Chemometrics (SPECC) is organizing a half-day workshop on data fusion methods and applications, where well-known experts from different disciplines including signal processing, chemometrics, and metabolomics will discuss data fusion models, algorithms and their applications in their own domains.
Please see the flyer for the program. The workshop is open to all interested, just remember to sign up by sending an email to Evrim Acar (evrim.at.life.ku.dk) by August 10, 2015.
MATLAB CMTF Toolbox 1.1
The CMTF Toolbox has been developed to jointly analyze heterogeneous data sets (i.e., data sets in the form of matrices and higher-order tensors) using coupled matrix and tensor factorizations (CMTF). In the presence of missing data, CMTF models are fit to the known entries only. First-order unconstrained optimization is used to fit the CMTF models.
The latest version of the MATLAB CMTF Toolbox was released in December 2014, and can now handle sparse tensors (sptensors from the Tensor Toolbox).
CSC - COPENHAGEN SCHOOL OF CHEMOMETRICS
June 1st – July 3rd, 2015
Spectroscopy and Chemometrics (SPECC) group is more than happy to announce the new edition of the PhD course: Copenhagen School of Chemometrics - CSC
CSC is a five-week school designed to be an introduction to different key aspects of advanced data analysis in science. CSC addresses to PhD students/post-docs, associate professors, etc. who want to acquire or refresh basic knowledge on multivariate data analysis from different disciplines (Chemistry, Physics, Biology, Geology, Environmental Sciences, etc.). CSC also addresses to researchers working in industry or research laboratories who want to implement multivariate data analysis in their daily research environment.
CSC is thought to be an intensive school. Therefore, CSC will be held in five weeks structured in ten different seminars/workshops where the students will be more than welcome to work with their own data together with high-qualified teachers.