Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Mapping a manifold of perceptual observations
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Schaum's Outline of Digital Signal Processing
Schaum's Outline of Digital Signal Processing
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Empirical Evaluation of Dissimilarity Measures for Color and Texture
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Measuring shape: ellipticity, rectangularity, and triangularity
Machine Vision and Applications
Combining Pattern Classifiers: Methods and Algorithms
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Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Learning Chance Probability Functions for Shape Retrieval or Classification
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 6 - Volume 06
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Classification of Contour Shapes Using Class Segment Sets
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Semantic manifold learning for image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
Unsupervised Learning of Image Manifolds by Semidefinite Programming
International Journal of Computer Vision
Supervised probabilistic principal component analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Supervised Isomap with Explicit Mapping
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Shape Recognition and Retrieval Using String of Symbols
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
Edit distance-based kernel functions for structural pattern classification
Pattern Recognition
Information Sciences: an International Journal
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Learning a Maximum Margin Subspace for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
Computer Vision and Image Understanding
A pose-wise linear illumination manifold model for face recognition using video
Computer Vision and Image Understanding
ACM Transactions on Knowledge Discovery from Data (TKDD)
Pattern Recognition Letters
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
Synchronized submanifold embedding for person-independent pose estimation and beyond
IEEE Transactions on Image Processing
Manifold based analysis of facial expression
Image and Vision Computing
An information-theoretic approach to face recognition from face motion manifolds
Image and Vision Computing
Learning Context-Sensitive Shape Similarity by Graph Transduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing dissimilarity measures for content-based image retrieval
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Manifold embedding for shape analysis
Neurocomputing
A visual shape descriptor using sectors and shape context of contour lines
Information Sciences: an International Journal
Learning an intrinsic-variable preserving manifold for dynamic visual tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Shape recognition based on Kernel-edit distance
Computer Vision and Image Understanding
Facial expression recognition on multiple manifolds
Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Learning an affine transformation for non-linear dimensionality reduction
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Shape Classification Using Tree -Unions
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Improving dynamic facial expression recognition with feature subset selection
Pattern Recognition Letters
Nonlinear dimensionality reduction using a temporal coherence principle
Information Sciences: an International Journal
Shape categorization using string kernels
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques
Journal of Mathematical Imaging and Vision
Supervised nonlinear dimensionality reduction for visualization and classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition
IEEE Transactions on Image Processing
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
IEEE Transactions on Neural Networks
Accurate calculation of Zernike moments
Information Sciences: an International Journal
High-dimensional MRI data analysis using a large-scale manifold learning approach
Machine Vision and Applications
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Manifold learning is a non-linear method with the aim of finding a constructive way to embed the data from a high-dimensional space into a low-dimensional one. The improvement of shape classification is the major approach in this paper which is based on the continuity in feature space in accordance with the continuity in semantic one. In this regard, a non-linear approach is employed to map the shape feature vectors to a new space while their semantics become similar with human opinion, the Euclidean distance between two feature vectors would be closed. Shapes are described by four contour-based and region-based techniques by the proposed method. In other word, they are described in four observation spaces. Furthermore, a parameter space is learnt from multiple observation spaces based on fusion of dissimilarities in a supervised manner. Experimental results show the validity and efficiency of the proposed approach for shape classification over a variety of standard shape datasets.