'Modelling data' presentation slideshows

What do the numbers mean?

833 views • 32 slides

TFMM, Zagreb, April 2005

TFMM, Zagreb, April 2005. Comparison of model results with measurements Sergey Dutchak EMEP/MSC-E. EMEP/MSC-E. TFMM, Zagreb, April 2005. Main goals of comparison of modelling/monitoring data. Model validation Emission testing Selection of measurements for comparison

323 views • 32 slides

Modelling data

Modelling data. static data modelling. Hidden variable cascades: build in invariance (eg affine) EM: general framework for inference with hidden vars. Accounting for data variability. Active shape models (Cootes&Taylor, 93) Active appearance models (Cootes, Edwards &Taylor, 98).

280 views • 19 slides

Modelling data

Modelling data. static data modelling. Hidden variable cascades: build in invariance (eg affine) EM: general framework for inference with hidden vars. Accounting for data variability. Active shape models (Cootes&Taylor, 93) Active appearance models (Cootes, Edwards &Taylor, 98).

295 views • 19 slides

Hints and Tips on Managing IBM Cognos Planning Models Effectively

Hints and Tips on Managing IBM Cognos Planning Models Effectively. Pat Bann / Paresh Kerai Cognos Planning Consultants. COGNOS PLANNING OVERVIEW. IBM Cognos Planning is an integrated solution for planning, budgeting, forecasting and modelling data

248 views • 6 slides