The following pages link to Pattern Recognition (Q75775):
Displaying 50 items.
- Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification (Q888574) (← links)
- Large margin subspace learning for feature selection (Q888576) (← links)
- A spectral-multiplicity-tolerant approach to robust graph matching (Q888578) (← links)
- Multiple graph regularized nonnegative matrix factorization (Q888579) (← links)
- Measures for ranking cell trackers without manual validation (Q898047) (← links)
- Learning a hybrid similarity measure for image retrieval (Q898052) (← links)
- Combining fractal and deterministic walkers for texture analysis and classification (Q898054) (← links)
- 3D shape retrieval using kernels on extended Reeb graphs (Q898055) (← links)
- Analytical study of performance of linear discriminant analysis in stochastic settings (Q898056) (← links)
- Agglomerative clustering via maximum incremental path integral (Q898059) (← links)
- Non-negativity constraints on the pre-image for pattern recognition with kernel machines (Q898064) (← links)
- On some convergence properties of the subspace constrained mean shift (Q898066) (← links)
- Errata and comments on: ``Generic orthogonal moments: Jacobi-Fourier moments for invariant image description'' (Q898067) (← links)
- Kernel-based sparse representation for gesture recognition (Q898216) (← links)
- Rotation invariant textural feature extraction for image retrieval using eigen value analysis of intensity gradients and multi-resolution analysis (Q898220) (← links)
- Recursive voids for identifying a nonconvex boundary of a set of points in the plane (Q898221) (← links)
- Clustering and outlier detection using isoperimetric number of trees (Q898224) (← links)
- Nonlinear multicriteria clustering based on multiple dissimilarity matrices (Q898226) (← links)
- ROC curves for regression (Q898227) (← links)
- Using robust dispersion estimation in support vector machines (Q898231) (← links)
- Marginalized Viterbi algorithm for hierarchical hidden Markov models (Q898235) (← links)
- Order statistics-based parametric classification for multi-dimensional distributions (Q898236) (← links)
- A second order cone programming approach for semi-supervised learning (Q898241) (← links)
- Guest editorial: Special issue on computer vision applying pattern recognition techniques (Q898291) (← links)
- Global-local optimizations by hierarchical cuts and climbing energies (Q898294) (← links)
- Training restricted Boltzmann machines: an introduction (Q898295) (← links)
- ``Anti-Bayesian'' \textit{parametric} pattern classification using order statistics criteria for some members of the exponential family (Q898296) (← links)
- Finding contrasted and regular edges by a contrario detection of periodic subsequences (Q898297) (← links)
- New and efficient DCA based algorithms for minimum sum-of-squares clustering (Q898299) (← links)
- Non-negative and sparse spectral clustering (Q898301) (← links)
- The C-loss function for pattern classification (Q898303) (← links)
- Multiple rank multi-linear SVM for matrix data classification (Q898305) (← links)
- Inductive manifold learning using structured support vector machine (Q898307) (← links)
- Fast and robust face recognition via coding residual map learning based adaptive masking (Q898311) (← links)
- Multi-linear neighborhood preserving projection for face recognition (Q898315) (← links)
- Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition (Q898318) (← links)
- Unsupervised segmentation and approximation of digital curves with rate-distortion curve modeling (Q898320) (← links)
- Continuous generalized Proceustes analysis (Q898324) (← links)
- A sparse nonnegative matrix factorization technique for graph matching problems (Q898325) (← links)
- Multiple feature kernel hashing for large-scale visual search (Q898328) (← links)
- A new relative chain code in 3D (Q898331) (← links)
- Integrated Fisher linear discriminants: an empirical study (Q898334) (← links)
- Regularized discriminant entropy analysis (Q898335) (← links)
- Semi-supervised clustering via multi-level random walk (Q898338) (← links)
- Ensemble clustering by means of clustering embedding in vector spaces (Q898340) (← links)
- A unified view of class-selection with probabilistic classifiers (Q898341) (← links)
- Approximate polytope ensemble for one-class classification (Q898344) (← links)
- A classification-oriented dictionary learning model: explicitly learning the particularity and commonality across categories (Q898347) (← links)
- Learning group-based dictionaries for discriminative image representation (Q898350) (← links)
- Depth-based complexity traces of graphs (Q898379) (← links)
