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).
SPECC news letter 40 is out ...
News letters ...
NIRperformance.com is an online resource on near infrared (NIR) spectroscopy in the feed industry offering objective advice and know-how. It discusses the latest developments and concerns within feed production and infrared analysis. Experts contribute useful information and resources and engage in insightful discussions so that everyone can benefit from an active, focused feed industry network.
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.
PhD course: Light & Food
Optics, lasers, vibrational spectroscopy and chemometrics Applied to food.
February 23-27, 2015
NIR imaging in Forensic sciences