Travelled to:1 × Australia
1 × Canada
1 × China
1 × Spain
1 × Turkey
1 × United Kingdom
Collaborated with:P.Somol J.Grim M.Haindl M.Kudo J.Novovicová F.J.Ferri
Talks about:select (4) mixtur (4) featur (4) algorithm (3) gaussian (2) textur (2) subset (2) search (2) model (2) use (2)
Person: Pavel Pudil
DBLP: Pudil:Pavel
Contributed to:
201020062004200220001998Wrote 8 papers:
- ICPR-2010-SomolGP #algorithm #feature model #problem #set
- The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround (PS, JG, PP), pp. 4396–4399.
- ICPR-v2-2006-GrimHSP #approach #modelling #using
- A Subspace Approach to Texture Modelling by Using Gaussian Mixtures (JG, MH, PS, PP), pp. 235–238.
- ICPR-v2-2006-SomolP #algorithm #feature model #keyword #multi #prototype #using
- Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms (PS, PP), pp. 736–739.
- ICPR-v3-2004-HaindlGSPK
- A Gaussian Mixture-Based Colour Texture Model (MH, JG, PS, PP, MK), pp. 177–180.
- ICPR-v2-2002-GrimPS #network #probability
- Boosting in Probabilistic Neural Networks (JG, PP, PS), pp. 136–139.
- ICPR-v2-2000-GrimPS #multi #recognition
- Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals (JG, PP, PS), pp. 2585–2589.
- ICPR-v2-2000-SomolP #algorithm #feature model
- Oscillating Search Algorithms for Feature Selection (PS, PP), pp. 2406–2409.
- ICPR-1998-GrimNPSF
- Initializing normal mixtures of densities (JG, JN, PP, PS, FJF), pp. 886–890.