Proceedings of the 13th International Conference on Pattern Recognition: August 25 - 29, 1996, Vienna, Austria 4 Track D: Parallel and connectionist systems
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| Körperschaft: | |
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| Format: | Tagungsbericht Buch |
| Sprache: | Undetermined |
| Veröffentlicht: |
Los Alamitos, Calif. [u.a.]
IEEE Computer Soc. Press
1996
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIX, 788 S. Ill., graph. Darst. |
| ISBN: | 0818674725 |
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| 049 | |a DE-29T |a DE-91G |a DE-91 |a DE-83 | ||
| 111 | 2 | |a International Conference on Pattern Recognition |n 13 |d 1996 |c Wien |j Verfasser |0 (DE-588)1900907-0 |4 aut | |
| 245 | 1 | 0 | |a Proceedings of the 13th International Conference on Pattern Recognition |b August 25 - 29, 1996, Vienna, Austria |n 4 |p Track D: Parallel and connectionist systems |
| 264 | 1 | |a Los Alamitos, Calif. [u.a.] |b IEEE Computer Soc. Press |c 1996 | |
| 300 | |a XXIX, 788 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-007324434 | ||
Datensatz im Suchindex
| _version_ | 1804125437972971520 |
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| adam_text | Volume
IV:
Track
D
Parallel and Connectionist Systems
Message from the
General
Chair.............................................................................................
xv
Message
from the
President
of I APR
......................................................................................xvi
Message from the Program Chairs
........................................................................................xvii
Organizing Committees
..........................................................................................................xviii
Session D6M: Interpolation
Source Position Estimation Using Radial Basis Functions
3
A.R. Webb and P.N. Garner
Curve and Surface Interpolation Using Rational Radial Basis Functions
.....................................8
W
-Н.
Liao and J.K. Aggarwal
Single View Recognition and Pose Estimation of
3D
Objects Using Sets of Prototypical
Views and Spatially Tolerant Contour Representations
............................................................. 14
J. Dunker, G.
Hartmann,
and M.
Stöhr
Session D6A: Robotics, Navigation and Action
Attention and Pattern Detection Using Sensory and Reactive Control Mechanisms
19
B.
Takács
and H.
Wechsler
Knowledge-Based View Control of a Neural
3-D
Object Recognition System
..........................24
U.
Büker
and
G. Hartmann
Surface Modeling and Robot Path Generation Using Self-Organization
....................................30
M.
Vârsta
and P. Koikkalainen
Performing Temporal Action with a Hand-Eye System Using the SHOSLIF Approach
.............35
W-S. Hwang, S.J. Howden, and J. Weng
Mutual Learning of Unsupervised Interactions between Mobile Robots
....................................40
C. Zanardi, J-Y.
Hervé,
and P. Cohen
Incremental Learning for Vision-Based Navigation
..................................................................45
J. Weng and S. Chen
Session D6E: Object Recognition
Face Recognition Using Ensembles of Networks
......................................................................50
S. Gutta, J. Huang, B.
Takács,
and
H.
Wechsler
Learning to Recognise Talking Faces
.......................................................................................55
J. Luettin, N.A. Thacker, and
S.W.
Beet
Learning
Affine
Transformations of the Plane for Model-Based Object Recognition
60
G. Bebis,
M. Georgiopoulos,
N.
da
Vitoria
Lobo,
and
M. Shah
Dynamic Link Matching for Multiple Object Recognition
........................................................65
H. Umeki and
H. M
izu
tani
A Neural
3-D
Object Recognition Architecture Using Optimized
Gabor
Filters
........................70
G.
Heidemann
and H.
Ritter
Triplet-Based Object Recognition Using Synthetic and Real Probability Models
......................75
K.
Pulii
and L.G. Shapiro
Session D7M: Self Organization and Relaxation
Skeletal Shape Extraction from Dot Patterns by Self-Organization
...........................................80
A. Datta, S.K. Parui, and B.B. Chaudhuri
Maximum-Likelihood Design of Layered Neural Networks
85
J. Grim
Unsupervised Segmentation of Gray Level Markov Model Textures with Hierarchical Self
Organizing Maps
.....................................................................................................................90
M. Goktepe,
N.
Yalabik, and V. Atalay
Modeling Object Recognition as a Markov Decision Process
...................................................95
B.A. Draper
A Markov Random Field Model of Subjective Contour Perception
......................................... 100
P.R. Cooper, S.
Ну
un,
and P. Yuen
Autoassociative
Learning in Relaxation Labeling Networks
................................................... 105
M.
Pelillo
and A.M.
Fanelli
Session D70: Object Recognition
3-D
Object Recognition from Range Images by Using a Model-Based Hopfield-Style
Matching Algorithm
..............................................................................................................
Ill
H. Zha, H. Nanamegi, and T. Nagata
3-D
Object Recognition Using Adaptive Scale MEGI
............................................................ 117
H. Matsuo, J. Funabashi, and A. Iwata
Matchability-Oriented Feature Selection for Recognition Structure Learning
.......................... 123
H. Yamakawa
Incremental Distributed Classifier Building
............................................................................ 128
E.
Stocker,
A. Ribert, Y. Lecourtier, and A. Ennaji
Recognition of Intersections in Corridors Environment
.......................................................... 133
V. Béranger
and J-Y.
Hervé
Using Machine Learning for Content-Based Image Retrieving
............................................... 138
J. Demšar
and F.
Solina
A New Approach to Land-Based Cloud Classification
........................................................... 143
M. Peura, A. Visa, and P.
Koštamo
Object Recognition by Fast Hypothesis Generation and Reasoning about Object
Interactions
............................................................................................................................ 148
M. Westling and LS. Davis
Recognition by Recall
............................................................................................................ 154
J.K.
W u
Texture Classification Using N-Tuple Pattern Recognition
..................................................... 159
L
Hepplewhite and T.J. Stonham
Adaptive Object Detection Based on Modified Hebbian Learning
.......................................... 164
Y-J. Zheng and B. Bihanu
vi
Automatic
Model Construction for Object Recognition Using
ISAR
Images
........................... 169
S. Zhang and B. Bhanu
The Classification of Industrial Sand-Ores by Image Recognition Methods
............................ 174
G. Bonifazi, P. Massacci, L. Nieddu, and G.
Patrizi
Classification of Multisensor Remote-Sensing Images by Multiple Structured Neural
Networks
............................................................................................................................... 180
F.
Roli, S.B.
Serpico,
and
L.
Bruzzone
Session D71: Memory
Multi-Valued and Universal Binary Neurons: Mathematical Model, Learning, Networks,
Application to Image Processing and Pattern Recognition
185
N.N. Aizenberg, I.N. Aizenberg, and G.A. Krivosheev
Cubical Singular Simplex Model for
3D
Objects and Fast Computation of Homology
Groups
................................................................................................................................... 190
J.
Chao
and J. Nakayama
Constructive and Robust Combination of Perceptrons
195
R.
Eigenmann
and J.A. Nossek
Hierarchies of Autoassociators
...............................................................................................200
A. Weingessel, H.
Bischof,
and K. Hornik
Session D72: Neural Networks and Statistics
Evaluation of an Anti-Regularization Technique in Neural Networks
.....................................205
Y. Hamamoto, Y. Mitani, H. Ishihara,
T. Hase,
and S.
Tornita
On the Small-Sample Behavior of the Class-Sensitive Neural Network
209
C.H. Chen and A. Jozwik
Wavelet-FILVQ Classifier for Speech Analysis
214
G. Van
de
Wouwer, P. Scheunders, D. Van Dyck,
M. De
Bodt, F. Wuyts,
and P.H. Van
de Heyning
Feedforward Neural Networks for Bayes-Optimal Classification: Investigations into the
Influence of the Composition of the Training Set on the Cost Function
219
A. Doering and H.
Witte
Piecewise-Linear Classifiers, Formal Neurons and Separability of the Learnig Sets
224
L. Bobrowski
Bayesian Adaptation of Hidden Layers in Boolean Feedforward Neural Networks
229
W. Utschick and J.A. Nossek
A l-NNPreclassifier for Fuzzy k-NN Rule
............................................................................234
A. Jozwik, I. Chmielewski, W. Cuidny, and M. Sktodowski
On the Relationship between Neural Networks and Fuzzy Reasoning
239
M.
Petrou
and K.R. Sasikala
Statistical Model-Based Estimation and Tracking of
Non-
Rigid Motion
244
C. Kervrann, F. Heitz, and P.
Pérez
Detection of Moving Objects Using a Robust Displacement Estimation Including
A Statistical Error Analysis
....................................................................................................249
M. Hotter, R.
Mester,
and M. Meyer
Pretopological Approach for Supervised Learning
256
F. Lebourgeois and H. Emptoz
vn
Session D7A:
Neural
Networks
and Statistics
Segments Matching: Comparison between a Neural Approach and a Classical
Optimization Way
..................................................................................................................261
M. Laumy, M. Dhome, and
J-T. Lapresté
A General Non-Linear Method for Modelling Shape and Location Image Objects
.................266
A. Lanitis,
P.D.
Sozou, C.J. Taylor, T.F. Cootes, and
E.C. Di Mauro
On the Nonlinearity of Pattern Classifiers
...............................................................................271
A.
Hoekstra
and R.P.W.
Duin
Learned Adaptive Nonlinear Filtering for
Anisotropie
Diffusion Approximation in
Image Processing
...................................................................................................................276
B.
Fischi
and E.L. Schwartz
Neural Modeling of Piecewise Linear Classifiers
281
M. Vriesenga and J. Sklansky
Neural Network and Statistical Perspectives of Classification
286
L.
Holmström,
P. Koistinen, J. Laaksonen, and E. Oja
Session D7E: Memory and Reinforcement Learning
An Analysis of the Exponential Correlation Associative Memory
...........................................291
E.R. Hancock and M.
Pelillo
Space/Time Tradeoffs for Associative Memory
......................................................................296
A.J. Grove and
D.W.
Jacobs
A Parallel Algorithm for Octree Generation from Polyhedral Shape Representation
...............303
Y. Kitamura and F. Kishino
Delayed Reinforcement Learning for Closed-Loop Object Recognition
..................................310
J. Peng and B. Bhanu
Session D8M: Feature Detection and Grouping
Analytical Feature Extraction and Spectral Summation
...........................................................315
T. Windeatt and R. Tebbs
Feature Extraction by Neural Network Nonlinear Mapping for Pattern Classification
.............320
B.
Lerner,
H. Guterman, M.
Aladjem, I. Dinstein, and Y.
Römern
A Neural Network-Based Algorithm to Detect Dominant Points from the Chain-Code
of a Contour
...........................................................................................................................325
J.M. Sanchiz, J.M.
Iñesta,
and
F. Pla
SD-Measurement of Geometrical Shapes by Photogrammetry and Neural Networks
...............330
T.
Lilienblum,
P.
Albrecht,
and B.
Michaelis
Adaptive Filtering of Distorted Displacement Vector Fields Using Artifical Neural
Networks
...............................................................................................................................335
B.
Michaelis,
О.
Schnelting,
ü. Seiffert,
and R.
Меске
Preattenti ve
Grouping and Attentive Selection for Early Visual Computation
.........................340
W.A. Fellenz and
G. Hartmann
Vill
Session D80:
Segmentation
and Clustering
Automatic Estimation of the LVQ-1 Parameters: Applications to Multispectral Image
Classification
.........................................................................................................................346
F.J.
Cortijo
and
N.
Pérez de la Blanca
Fast
Vector
Quantizer on Neural Clustering Networks Providing Globally Optimal
Cluster Solutions
....................................................................................................................351
U.
Möller,
M.
Galicki, and H. Wine
Unsupervised Segmentation of Surface Defects
......................................................................356
J. Iivarinen, J. Rauhamaa, and A. Visa
Correction of Systematic Errors in Automatically Produced Boundaries from Low
Contrast Ventriculograms
......................................................................................................361
J.S.
Suri,
R.M.
Haralick, and F.H. Sheehan
Picture Segmentation with Introducing an
Anisotropie
Preliminary Step to an MRF
Model with Cellular Neural Networks
....................................................................................366
T.
Szirányi
and
L Czúni
Robust Recognition of White Blood Cell Images
....................................................................371
V.A. Kovalev, A. Y. Grigoriev, and
HS. Ahn
Motion Segmentation by Fuzzy Clustering with Automatic Determination of the Number
of Motions
.............................................................................................................................376
B. Due, P. Schroeter, and J. Bigiin
Unsupervised Texture Segmentation by Hebbian Learnt Cortical Cells
...................................381
L. Hepplewhite and T.J. Stonham
Bucket Processing: A Paradigm for Image Processing
...........................................................386
J.G.E. Oik and P.P.
Jonker
Shape Model Analysis of THR Radiographs
391
A.C.W. Kotcheff, A. Redhead, C.J. Taylor, and
D.W.
L. Hukins
Why Handwriting Segmentation Can Be Misleading?
............................................................396
R. Plamondon and W. Guerfali
Image Reconstruction Using High-Level Constraints
..............................................................401
N.
Tsuruta, R. Taniguchi, and M. Amamiya
Session D81
:
Robotics Navigation
+
Action
Task-Relevant Relaxation Network for Visuo-Motory Systems
..............................................406
F.H. Hamker and
Н
-M.
Gross
Seeing the Chraracter Images that an OCR System Sees
—
Analysis by Genetic
Algorithm
..............................................................................................................................411
H. Sakano, H.
Kida,
and
N.
Mukawa
Multirobot Convoying Using Neuro-Fuzzy Control
417
K.C. Ng andM.M. Trivedi
Session D82: Document Analysis/Handwriting
On-Line Handwriting Character String Separation Method Using Network Expression
422
M. Okamoto, H. Yamamoto, K. Sawada, and K. Yamamoto
ix
Recognition of Unconstrained Handwritten Numerals by Doubly Self-Organizing
Neural Network
.....................................................................................................................426
S-B. Cho
A New Neuro-Fuzzy System for Logical Labeling of Documents
...........................................431
G.I. Sainz
Palmero,
J.M.
Cano Izquierdo, Y.A. Dimitriadis, andJ. López Coronado
A Hybrid Feature Extraction Framework for Handwritten Numeric Fields Recognition
..........436
J
-Я.
Chiang and P. Gader
Handwritten Numeral Recognition with the Improved LDA Method
......................................441
T. Kawatani, H. Shimizu, and M. McEachern
Highly Accurate Recognition of Printed Korean Charcters through an Improved
Grapheme Recognition Method
..............................................................................................447
J-S. Lee,
О
-J.
Kwon, andS-Y. Bang
Multiple Experts Recognition System Based on Neural Network
............................................452
5.
Wang, X. Zhu, and Y. Jin
A Parallel Thinning Algorithm with Two-Subiteration that Generates One-Pixel-Wide
Skeletons
...............................................................................................................................457
Y. Y.
Zhang and
P.S.
P. Wang
Session D8A: Neural Networks and Segmentation/Clustering
Hopfield Neural Network with Prespecified Time Convergence for the Segmentation
of Brain MR Images
..............................................................................................................462
R. Sammouda,
N.
Niki,
and H. Nishitani
Stability Study of Some Neural Networks Applied to Tissue Characterization of
Brain Magnetic Resonance Images
.........................................................................................472
A. Stocker,
O. Sipilä,
A. Visa,
Ο.
Sahnen,
and T.
Katila
A Fuzzy ARTMAP-Based Classification System for Detecting Cancerous Cells, Based on
the One-Class Problem Approach
..........................................................................................478
N.A. Murshed, F. Bortolozzi, and R. Sabourin
A Simulated Annealing Approach to Construct Optimized Prototypes for
Nearest-Neighbor Classification
.............................................................................................483
Y.S. Huang, K. Liu, C-Y. Suen, A.J. Shie, I.I. Shyu, M.C. Liang, R.Y. Tsay,
andP.K. Huang
Large-Scale Parallel Data Clustering
......................................................................................488
D. Judd, P.K.
McKinley,
αηάΑ,Κ.
Jain
Model-Based Learning of Segmentations
...............................................................................494
A.
Hoogs
and R.
Bajcsy
Session D8E: Handwritten Character Recognition
Challenges in Document Recognition: Bottom Up and Down Processes
................................500
T. Pavlidis
Off-Line Cursive Handwriting Recognition Compared with On-Line Recognition
..................505
R.
Seiler,
M.
Schenkel,
and
F. Eggimann
A Segmentation and Recognition Strategy for Handwritten Phrases
........................................510
G. Kim, V. Govindaraju, and S.N. Srihari
Adaptive
Discrimination
in an HMM-Based Neural Predictive System for On-Line Word
Recognition
..................................................................................................................... 515
S. Garcia-Salicetti, B. Dorizzi, P. Gallinari, and Z. Wimmer
Constraint Tangent Distance for On-Line Character Recognition
520
H.
Schwenk
and M. Milgram
Session D9M: Genetic Algorithm and Biological Models
Reconstruction of Neutron Penumbral Images by a Constrained Genetic Algorithm
525
Y-W. Chen, Z. Nakao, K. Arakaki, I. Nakamura, and S. Tamura
Binary Linear Decision Tree with Genetic Algorithm
530
B-B.
Chai,
X. Zhuang, Y. Zhao, and J. Sklansky
Detection of Geometric Shapes by the Combination of Genetic Algorithm and
Subpixel
Accuracy
......................................................................................................................535
Y. Wang
and
N.
Funakubo
Nonlinear Interaction of ON and OFF Data Streams for the Detection of Visual Structure
540
E.
Littmann,
H.
Neumann, and
L
Pessoa
The Generation of Motion Kinematics Using a Time-Delay Neural Network
545
M.J.S. Day and J.S. Payne
An Algorithm Derived from Thalamocortical Circuitry Stores and Retrieves Temporal
Sequences
..............................................................................................................................550
B.
Aleksandrov
sky, J. Whitson, A. Garzotto, G. Lynch, and R. Granger
Session D90: Learning to Use Formal Languages
A New Self-Organizing Neural Network Using Geometric Algebra
555
E. Bayro-Corrochano, S.
Buchholz,
and G.
Sommer
Error Correction Scheme Augumented with Statistical and Lexical Learning Capability, for
Japanese OCR
.......................................................................................................................560
K. Muraki
Learning
Bidimensional
Context-Dependent Models Using a Context-Sensitive Language
565
M. Sainz and A. Sanfeliu
Session D91: Architectures
Multiresolution Skeletonization in Binary Pyramids
570
G. Borgefors
and G.
Sanniti di
Baja
An Integrated Memory Array Processor with a Synchronous-DRAM Interface for
Real-Time Vision Applications
575
N.
Yamashita, Y. Fujita, and S. Okazaki
Multiple Recognizers System Using Two-Stage Combination
581
J. Paik, SB. Cho, K. Lee, and Y. Lee
An Improved Backpropagation Neural Network Learning
586
¡.P. Stoyanov
Concurrent Radar Image Shape-from-Shading on High-Performance Computers
589
A. Golier
A VLSI System Architecture for Lossless Image Compression
594
S.B. Aruru,
N.
Ranganathan, and K.R. Namuduri
xi
Knowledge-Based
Integration
of
IU
Algorithms
.....................................................................599
С.
Shekhar,
S.
Kuttikkad,
R.
Chellappa,
and M. Thonnat
Binary PACT.........................................................................................................................
606
H.
Yoshii
A
Dynamic Frequency Linear Array Processor for Image Processing
611
N.
Ranganathan,
N.
Bhavanishankar, and
N.
Vijaykrishnan
A Parallel Partial-Sums Computation on a Pyramid Machine
616
L. Cinque
Connected Component Support for Image Analysis Programs
620
A. Biancardi and
A. Mérigot
SIMD Algorithms for Single Link and Complete Link Pattern Clustering
625
5.
Arumugavelu and
N.
Ranganathan
Session D92: Interpolation
Adaptive Radial Basis Functions
............................................................................................630
A.R. Webb and S. Shannon
Nonlinear Feature Extraction with Radial Basis Functions Using a Weighted
Multidimensional Scaling Stress Measure
..............................................................................635
A.R. Webb
An Efficient Method to Construct a Radial Basis Function Neural Network Classifier and
Its Application to Unconstrained Handwritten Digit Recognition
............................................640
Y-S. Hwang and S-Y. Bang
An RBF Network with Tunable Function Shape
.....................................................................645
L. Kuncheva and S. Hadjitodorov
Radial Basis Function Networks and Nonparametric Classification: Complexity
Regularizaron
and the Rates of Convergence
.........................................................................650
A. Krzyżak
and T. Under
Complexity Optimization of Adaptive RBFNetworks
............................................................654
A. Leonardis and H.
Bischof
Session D93: Biological Models/Genetic Algorithms
Performance Comparison of Two Evolutionary Schemes
........................................................659
P. Dutta and D. DuttaMajumder
On the Local Optimality of Image Quantizers
.........................................................................664
P. Scheunders, H. Van Hove, and S. Livens
Object Modeling from Multiple Images Using Genetic Algorithms
.........................................669
H.
Saito
and M. Mori
3D
Shape Recovery from Two-Color Image Sequences Using a Genetic Algorithm
...............674
Y-L.
Tian
and H.T. Tsui
Connectionist Cognitive Processng for Invariant Pattern Recognition
.....................................679
F. Alexandre
Shape Extraction of Transparent Object Using Genetic Algorithm
..........................................684
S.
Hata,
Y.
Saitoh,
S.
Kumamura, and K. Kaida
Genetic Algorithms for Free-Form Surface Matching
.............................................................689
K. Brunnström
and A.J. Stoddart
xn
A Parallel Genetic Algorithm for Image Restoration
...............................................................694
Y-W. Chen, Z. Nakao, X. Fang, and S. Tamura
Session 09A: Architectures and Distributed Algorithms
Parallel Architecture Dedicated to Connected Component Analysis
699
E. Mozef, S. Weber, J. Jaber, and E.
Tisserand
Structural Adaptation in Mixture of Experts
......................................................................... 704
V. Ramamurti and J. Ghosh
An Introduction to Morphological Neural Networks
.............................................................709
G.X.
Ritter
and P. Sussner
A New Recurrent Neural Network Architecture for Pattern Recognition
718
H
-Н.
Song, S-M. Kang, and S-W. Lee
A VLSI Array Processor Accelerator for k-NN Classification
..............................................723
A. Ferrari, M. Borgatti, and R.
Guerrieri
Data Distribution Concepts for Parallel Image Processing
728
M. Nolle and G.
Schreiber
Session D9E: Attention, Learning and Vision
A Computational Model of Depth-Based Attention
734
A. Maki, P.
Nordlund,
and
J
-О.
Eklundh
Vergence
and Tracking Fusing Log-Polar Images
..................................................................740
C. Capurro,
F. Panerai,
and G.
Sandini
Learning of Context-Sensitive Languages Described by Augmented Regular
Expressions
...........................................................................................................................745
R. Alquézar
and A. Sanfeliu
Learning Class Regions by the Union of Ellipsoids
750
M. Kositsky and S.
Ullman
GA-Based Pattern Classification: Theoretical and Experimental Studies
758
5.
Bandy opadhyay,
С
A. Murthy, andS.K. Pal
Linear Classifiers in Perceptron Design
763
S. Raudys
Author Index
769
XIII
|
| any_adam_object | 1 |
| author_corporate | International Conference on Pattern Recognition Wien |
| author_corporate_role | aut |
| author_facet | International Conference on Pattern Recognition Wien |
| author_sort | International Conference on Pattern Recognition Wien |
| building | Verbundindex |
| bvnumber | BV010950649 |
| ctrlnum | (OCoLC)632752801 (DE-599)BVBBV010950649 |
| format | Conference Proceeding Book |
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| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV010950649 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:01:33Z |
| institution | BVB |
| institution_GND | (DE-588)1900907-0 |
| isbn | 0818674725 |
| language | Undetermined |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007324434 |
| oclc_num | 632752801 |
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| owner | DE-29T DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-83 |
| owner_facet | DE-29T DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-83 |
| physical | XXIX, 788 S. Ill., graph. Darst. |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| publisher | IEEE Computer Soc. Press |
| record_format | marc |
| spelling | International Conference on Pattern Recognition 13 1996 Wien Verfasser (DE-588)1900907-0 aut Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria 4 Track D: Parallel and connectionist systems Los Alamitos, Calif. [u.a.] IEEE Computer Soc. Press 1996 XXIX, 788 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier (DE-588)1071861417 Konferenzschrift gnd-content (DE-604)BV010950437 4 Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007324434&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria |
| subject_GND | (DE-588)1071861417 |
| title | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria |
| title_auth | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria |
| title_exact_search | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria |
| title_full | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria 4 Track D: Parallel and connectionist systems |
| title_fullStr | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria 4 Track D: Parallel and connectionist systems |
| title_full_unstemmed | Proceedings of the 13th International Conference on Pattern Recognition August 25 - 29, 1996, Vienna, Austria 4 Track D: Parallel and connectionist systems |
| title_short | Proceedings of the 13th International Conference on Pattern Recognition |
| title_sort | proceedings of the 13th international conference on pattern recognition august 25 29 1996 vienna austria track d parallel and connectionist systems |
| title_sub | August 25 - 29, 1996, Vienna, Austria |
| topic_facet | Konferenzschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007324434&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV010950437 |
| work_keys_str_mv | AT internationalconferenceonpatternrecognitionwien proceedingsofthe13thinternationalconferenceonpatternrecognitionaugust25291996viennaaustria4 |