| 2009 |
|---|
| 23 | EE | Jiri Grim,
Petr Somol,
Michal Haindl,
J. Danes:
Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models.
IEEE Transactions on Image Processing 18(4): 765-773 (2009) |
| 2008 |
|---|
| 22 | EE | Michal Haindl,
Vojtech Havlícek,
Jiri Grim:
Probabilistic Discrete Mixtures Colour Texture Models.
CIARP 2008: 675-682 |
| 21 | EE | Jiri Grim:
Extraction of Binary Features by Probabilistic Neural Networks.
ICANN (2) 2008: 52-61 |
| 20 | EE | Petr Somol,
Jana Novovicová,
Jiri Grim,
Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection.
ICPR 2008: 1-4 |
| 19 | EE | Jiri Grim,
Jana Novovicová,
Petr Somol:
Structural poisson mixtures for classification of documents.
ICPR 2008: 1-4 |
| 18 | EE | Jiri Grim,
Jan Hora:
Iterative principles of recognition in probabilistic neural networks.
Neural Networks 21(6): 838-846 (2008) |
| 2007 |
|---|
| 17 | EE | Michal Haindl,
Jiri Grim,
Stanislav Mikes:
Texture Defect Detection.
CAIP 2007: 987-994 |
| 16 | EE | Jiri Grim,
Jan Hora:
Recurrent Bayesian Reasoning in Probabilistic Neural Networks.
ICANN (1) 2007: 129-138 |
| 15 | EE | Jiri Grim,
Jan Hora:
Minimum Information Loss Cluster Analysis for Categorical Data.
MLDM 2007: 233-247 |
| 2006 |
|---|
| 14 | EE | Jiri Grim,
Petr Somol,
Michal Haindl,
Pavel Pudil:
Color Texture Segmentation by Decomposition of Gaussian Mixture Model.
CIARP 2006: 287-296 |
| 13 | EE | Jiri Grim,
Michal Haindl,
Petr Somol,
Pavel Pudil:
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures.
ICPR (2) 2006: 235-238 |
| 12 | EE | Jiri Grim:
EM Cluster Analysis for Categorical Data.
SSPR/SPR 2006: 640-648 |
| 2005 |
|---|
| 11 | EE | Jiri Grim,
Petr Somol,
Pavel Pudil:
Probabilistic neural network playing and learning Tic-Tac-Toe.
Pattern Recognition Letters 26(12): 1866-1873 (2005) |
| 2004 |
|---|
| 10 | EE | Michal Haindl,
Jiri Grim,
Petr Somol,
Pavel Pudil,
Mineichi Kudo:
A Gaussian Mixture-Based Colour Texture Model.
ICPR (3) 2004: 177-180 |
| 9 | EE | Petr Somol,
Pavel Pudil,
Jiri Grim:
On Prediction Mechanisms in Fast Branch & Bound Algorithms.
SSPR/SPR 2004: 716-724 |
| 2003 |
|---|
| 8 | EE | Jiri Grim,
Michal Haindl:
Texture modelling by discrete distribution mixtures.
Computational Statistics & Data Analysis 41(3-4): 603-615 (2003) |
| 2002 |
|---|
| 7 | EE | Jiri Grim,
Pavel Pudil,
Petr Somol:
Boosting in Probabilistic Neural Networks.
ICPR (2) 2002: 136-139 |
| 6 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Multiple Classifier Fusion in Probabilistic Neural Networks.
Pattern Anal. Appl. 5(2): 221-233 (2002) |
| 2001 |
|---|
| 5 | EE | Petr Somol,
Pavel Pudil,
Jiri Grim:
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms.
ICAPR 2001: 230-239 |
| 4 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Information Analysis of Multiple Classifier Fusion.
Multiple Classifier Systems 2001: 168-177 |
| 2000 |
|---|
| 3 | EE | Jiri Grim,
Pavel Pudil,
Petr Somol:
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals.
ICPR 2000: 2585-2589 |
| 2 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks.
Multiple Classifier Systems 2000: 157-166 |
| 1998 |
|---|
| 1 | | Jiri Grim,
Pavel Pudil:
On Virtually Binary Nature of Probabilistic Neural Networks.
SSPR/SPR 1998: 765-774 |
