Artificial Intelligence Review - Special issue on lazy learning
Digital Pattern Recognition
Digital Image Processing
Digital Pictures: Representation and Compression
Digital Pictures: Representation and Compression
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
The Nonlinear Statistics of High-Contrast Patches in Natural Images
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Regularity-preserving image interpolation
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule
Neural Computation
Unsupervised Learning of Image Manifolds by Semidefinite Programming
International Journal of Computer Vision
Learning task-specific similarity
Learning task-specific similarity
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
On the Local Behavior of Spaces of Natural Images
International Journal of Computer Vision
A hybrid MLP-PNN architecture for fast image superresolution
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Regularity-preserving image interpolation
IEEE Transactions on Image Processing
Fast DCT-based spatial domain interpolation of blocks in images
IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Image Superresolution Using Support Vector Regression
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
Super-resolution of images based on local correlations
IEEE Transactions on Neural Networks
Local class boundaries for support vector machine
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Perceptual relativity-based local hyperplane classification
Neurocomputing
Just-in-time adaptive similarity component analysis in nonstationary environments
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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We propose an image interpolation algorithm that is nonparametric and learning-based, primarily using an adaptive k-nearest neighbor algorithm with global considerations through Markov random fields. The empirical nature of the proposed algorithm ensures image results that are data-driven and, hence, reflect "real-world" images well, given enough training data. The proposed algorithm operates on a local window using a dynamic k-nearest neighbor algorithm, where differs from pixel to pixel: small for test points with highly relevant neighbors and large otherwise. Based on the neighbors that the adaptable k provides and their corresponding relevance measures, a weighted minimum mean squared error solution determines implicitly defined filters specific to low-resolution image content without yielding to the limitations of insufficient training. Additionally, global optimization via single pass Markov approximations, similar to cited nearest neighbor algorithms, provides additional weighting for filter generation. The approach is justified in using a sufficient quantity of training per test point and takes advantage of image properties. For in-depth analysis, we compare to existing methods and draw parallels between intuitive concepts including classification and ideas introduced by other nearest neighbor algorithms by explaining manifolds in low and high dimensions.