Table of contents :
Introduction……Page 1
Theoretical foundations……Page 2
Modified fuzzy-rough sets……Page 3
Properties of proposed version offuzzy-rough sets……Page 5
Concluding remarks……Page 8
References……Page 9
Introduction……Page 10
Related works……Page 11
Wavelet-domain hidden Markov modelfor color images……Page 13
WD HMM methods……Page 15
Experiments and discussions……Page 16
Further reading……Page 19
Introduction……Page 20
Edge synthesis……Page 21
The set of test edges used……Page 24
Results……Page 26
Example of use……Page 28
Conclusions……Page 29
References……Page 30
Introduction……Page 31
Relation to prior work……Page 32
Image compression……Page 33
Cross correlation in compressed format……Page 34
Adaptive window positioning……Page 35
Fine correlation and complete depth map……Page 37
Real motion image pair……Page 39
References……Page 41
Introduction……Page 43
System overview……Page 44
Gabor filter design……Page 45
Gabor feature extraction……Page 46
Training sample collection……Page 47
Experimental results……Page 48
Comparison of performance……Page 50
References……Page 51
Introduction……Page 52
Binary texture analysis……Page 53
Run-length based features……Page 54
Spatial-size distribution related features……Page 55
Dimensionality reduction and clustering……Page 56
Experimental results……Page 57
References……Page 59
Introduction……Page 60
Music terminologies……Page 61
Main performance requirements of music melody stream mining……Page 62
Chord-set memory border……Page 63
MMSLMS-summary……Page 64
MMSLMS-mine……Page 68
Experimental results……Page 74
Conclusions……Page 75
References……Page 76
Introduction……Page 77
Classification and the K ndash L distance……Page 78
Application to feature selection……Page 80
Examples……Page 81
Feature space search……Page 82
Conclusion……Page 83
References……Page 84
Recursive computation method for fast encoding of vector quantization based on 2-pixel-merging sum pyramid data structure……Page 86
Introduction……Page 87
Previous work……Page 88
Proposed method……Page 89
Experimental results……Page 90
Conclusion……Page 91
References……Page 92
Design and implementation of a multi-PNN structure for discriminating one-month abstinent heroin addicts from healthy controls using the P600 component of ERP signals……Page 93
ERP generation procedure……Page 94
Compartmental classification……Page 95
Results and discussion……Page 97
References……Page 101
Introduction……Page 103
Texture directionality in multiple resolutions……Page 104
Texture local graylevel variability in multiple resolutions……Page 105
Experimental results……Page 107
References……Page 110
Introduction……Page 112
Global and contextual information……Page 114
Registration: obtaining invariance againstelastic transformations……Page 115
Similarity measure in the final comparison between images……Page 116
Performance of the correlograms……Page 117
Evaluation of the feedback scheme……Page 118
Computational cost: scaling the system……Page 120
Retrieval results……Page 121
Conclusions……Page 122
References……Page 123
Overview of some existing computational methods for the evaluation of symmetry……Page 124
Definition……Page 125
Characteristic point……Page 126
Properties of this parameter……Page 127
Properties of this parameter……Page 128
Improvements of the algorithms……Page 129
Conclusion……Page 130
References……Page 131
Introduction……Page 132
Conditional histograms……Page 134
Classification……Page 135
Segmentation……Page 136
Experimental data……Page 137
Classification results……Page 138
Segmentation……Page 140
References……Page 142
The setting……Page 144
The evidence……Page 145
The plot thickens……Page 146
First witness: Direct comparison……Page 147
Second witness: Overall accuracy……Page 148
Third witness: Inside Statlog……Page 149
The verdict……Page 150
References……Page 151
Density estimation for Bayesian network classifiers……Page 153
Non-parametric density estimation using kernels……Page 155
Spline-approximated KDE for BNCs……Page 156
The spline smoother……Page 157
Databases and methodology……Page 158
Sensitivity to spline order……Page 159
Sensitivity to dimensionality……Page 160
Discussion……Page 161
References……Page 162
Introduction……Page 164
Qualitative real-time range extraction for preplanned scene partitioning using laser beam coding……Page 166
Results……Page 167
Discussion……Page 172
References……Page 173
Introduction……Page 174
Coordinate systems……Page 176
Georeferencing for a push-broom line……Page 177
Resampling and interpolation……Page 178
Algorithm……Page 179
Check for the accuracy of rectification……Page 180
References……Page 183
05001558.PDF……Page 184
Pattern Recognition Letters
Free Download
Direct Download: Coming soon..
Download link:
Category: Computers , Algorithms and Data Structures: Pattern RecognitionSign in to view hidden content.
Be the first to review “Pattern Recognition Letters” Cancel reply
You must be logged in to post a review.
Related products
- Computers , Algorithms and Data Structures: Pattern Recognition
Принципы распознавания образов
Free Download - Computers , Algorithms and Data Structures: Pattern Recognition
Chart Pattern Recognition For MetaStock and MetaStock
Free Download - Computers , Algorithms and Data Structures: Pattern Recognition
Modeling with Pattern Recognition Decision Rules
Free Download - Computers , Algorithms and Data Structures: Pattern Recognition
Markov models for pattern recognition: from theory to applications
Free Download - Computers , Algorithms and Data Structures: Pattern Recognition
Vision systems: segmentation and pattern recognition
Free Download
Reviews
There are no reviews yet.