Advances in Pattern Recognition: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, August 11-13, 1998, Proceedings 1998 ed. [Pehme köide]

Error-tolerant graph matching: A formal framework and algorithms.-
Semantic content based image retrieval using object-process diagrams.-
Pattern recognition methods in image and video databases: Past, present and
future.- Efficient matching with invariant local descriptors.- Torah codes:
New experimental protocols.- Integrating numerical and syntactic learning
models for pattern recognition.- Synthesis of function-described graphs.-
Marked subgraph isomorphism of ordered graphs.- Distance evaluation in
pattern matching based on frontier topological graph.- Syntactic
interpolation of fractal sequences.- Minimizing the topological structure of
line images.- Genetic algorithms for structural editing.- The noisy
subsequence tree recognition problem.- The path-connectedness in Z 2 and Z 3
and classical topologies.- Object recognition from large structural
libraries.- Acquisition of 2-D shape models from scenes with overlapping
objects using string matching.- A taxonomy of occlusion in viewsignature II
representations: A regular language for the representation of 3-D rigid solid
objects.- Skeletonizing volume objects part II: From surface to curve
skeleton.- A survey of non-thinning based vectorization methods.- A benchmark
for Raster to vector conversion systems.- Network-based recognition of
architectural symbols.- Recovering image structure by model-based interaction
map.- An improved scheme to fingerprint classification.- Character
recognition with k-head finite array automata.- Using semantics in matching
cursive Chinese handwritten annotations.- Concavity detection using a binary
mask-based approach.- Structural indexing of line pictures with feature
generation models.- Nonlinear covariance for multi-band image data.- A neural
network for image smooothing and segmentation.- Prototyping structural
descriptions: An inductive learning approach.- Neural network based learning
of local compatibilities for segment grouping.- Constrained attribute
grammars for recognition of multi-dimensional objects.- Object recognition
using sequential images and application to active vision.- Recognizing
partially visible 2-D non-rigid wire-shapes.- XFF: A simple method to extract
fractal features for 2D object recognition.- Tracking of rotating objects.-
Efficient implementation of regulated morphological operations based on
directional interval coding.- Clique-to-clique distance computation using a
specific architecture.- Algebraic view of grammatical inference.- Remarks on
the notation of coordinate grammars.- A structural classifier to
automatically identify form classes.- Towards efficient structural analysis
of mathematical expressions.- The topological consistence of path
connectedness in regular and irregular structures.- Content-based image
indexing and retrieval: A syntactical approach.- Knowledge-based recognition
of crosshatched areas in engineering drawings.- Information extraction from
document images using white space and graphics analysis.- Multi-interval
discretization methods for decision tree learning.- Handwritten digit
recognition through inferring graph grammars. A first appproach.- Optical
character recognition: Neural network analysis of hand-printed characters.-
Structural boundary feature extraction for printed character recognition.-
Locating segmentation regions of connected handwritten digits.- Recognition
on handwritten digits based on their topological and morphological
properties.- Perceptual features for off-line handwritten word recognition: A
framework for heuristic prediction, representation and matching.- On
structural modelling for omnifont and handwritten character recognition.-
Image segmentation by label anisotropic diffusion.- Classifier-independent
feature selection for two-stage feature selection.- Feature selection for a
nonlinear classifier.- Regularization by adding redundant features.- Feature
selection expert User oriented approach.- Structures of the covariance
matrices in the classifier design.- Outlier detection using classifier
instability.- Distribution free decomposition of multivariate data.-
Classifier conditional posterior probabilities.- Editing prototypes in the
finite sample size case using alternative neighborhoods.- Image
classification using a stochastic model that reflects the internal structure
of mixels.- Nearest neighbors in random subspaces.- A model for
non-stationary time series analysis with clustering methods.- Robust cluster
analysis via mixtures of multivariate t-distributions.- Consistent set
estimation in k-dimensions : An efficient approach.- A statistical theory of
shape.- Accurate detection and characterization of corner points using
circular statistics and fuzzy clustering.- An approximate nearest neighbours
search algorithm based on the Extended General Spacefilling Curves
Heuristic.- A pretopological approach for pattern classification with reject
options.- Optimizing the error/reject trade-off for a multi-expert system
using the Bayesian combining rule.- Optimum decision rules in pattern
recognition.- On unifying probabilistic/fuzzy and possibilistic
rejection-based classifiers.- Rejection versus error in a multiple experts
environment.- Distance rejection in the context of electric power system
security assessment based on automatic learning.- On virtually binary nature
of probabilistic neural networks.- Linear discriminant analysis for two
classes via recursive neural network reduction of the class separation.-
Modified minimum classification error learning and its application to neural
networks.- Applying voting to segmentation of MR images.- Segmentation of
natural images using hierarchical and syntactic methods.- Nonlinear variance
measures in image data.- Non-linear mapping for feature extraction.-
MDL-based selection of the number of components in mixture models for pattern
classification.- Stepwise selection of perceptual texture features.- Pattern
classification with noisy features.- Features for the classification of
marine microfossils.- A statistical clustering model and algorithm.-
BANG-Clustering: A novel grid-clustering algorithm for huge data sets.- Set
partition principles revisited.- Pattern classification based on local
learning.- Comparison of different methods for testing the significance of
classification efficiency.- Non-Gaussian stochastic model for analysis of
automatic detection/recognition.- Fast median search in metric spaces.-
Generalised syntactic pattern recognition as a unifying approach in image
analysis.- Minimal sample size in grammatical inference a bootstrapping
approach.- A statistical approach to structure and motion from image
features.- A hierarchical classifier for multifont digits.- Multi-level
arabic handwritten words recognition.- Mixtures of principal components
Gaussians for density estimation in high dimension data spaces.-
Characterization and classification of printed text in a multiscale context.-
Analysis of Gabor parameters for handwritten numeral recognition by
experimental design.- A new cost function for typewritten digits
segmentation.- Learning parameters of Gibbs random fields using unconditional
and conditional MLE of potentials.- A nonparametric data mapping technique
for active initialization of the multilayer perceptron.- Pattern recognition
learning applied to stereovision matching.- Human verification using
3D-gray-scale face image.- Subject-based modular eigenspace scheme for face
recognition.- Unsupervised texture segmentation.- Invisible modification of
the palette color image enhancing lossless compression.- A statistical model
for an automatic procedure to compress a word transcription dictionary.