The following pages link to (Q3093402):
Displaying 37 items.
- Regularized vector field learning with sparse approximation for mismatch removal (Q75781) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Sparse conjugate directions pursuit with application to fixed-size kernel models (Q413891) (← links)
- Hierarchical linear support vector machine (Q454434) (← links)
- Combinatorial properties of support vectors of separating hyperplanes (Q499715) (← links)
- Exploiting separability in large-scale linear support vector machine training (Q540649) (← links)
- Adaptive constraint reduction for training support vector machines (Q836799) (← links)
- Adaptive simplification of solution for support vector machine (Q856462) (← links)
- Aspects in classification learning -- review of recent developments in learning vector quantization (Q902754) (← links)
- Robust and efficient multiclass SVM models for phrase pattern recognition (Q937436) (← links)
- On-line independent support vector machines (Q962688) (← links)
- Computational load reduction in decision functions using support vector machines (Q1032445) (← links)
- Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition (Q1046605) (← links)
- Growing support vector classifiers with controlled complexity. (Q1403745) (← links)
- High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
- DirectSVM: A simple support vector machine perceptron (Q1851199) (← links)
- A feature selection Newton method for support vector machine classification (Q1876591) (← links)
- A sequential algorithm for sparse support vector classifiers (Q1933557) (← links)
- Sparse kernel SVMs via cutting-plane training (Q1959504) (← links)
- Cutting-plane training of structural SVMs (Q1959520) (← links)
- Training sparse least squares support vector machines by the QR decomposition (Q2182874) (← links)
- Optimized fixed-size kernel models for large data sets (Q2445599) (← links)
- Support vector machine via nonlinear rescaling method (Q2468778) (← links)
- New smoothing SVM algorithm with tight error bound and efficient reduced techniques (Q2636609) (← links)
- Support vector machine active learning with applications to text classification (Q2782269) (← links)
- (Q3093239) (← links)
- Costs sensitive to examples learning in reduced support vector machine (Q3399665) (← links)
- (Q3454038) (← links)
- (Q4633012) (← links)
- Online training on a budget of support vector machines using twin prototypes (Q4969713) (← links)
- On the proliferation of support vectors in high dimensions* (Q5055426) (← links)
- (Q5148999) (← links)
- Training a Support Vector Machine in the Primal (Q5294324) (← links)
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (Q5475721) (← links)
- Computational and Information Science (Q5491636) (← links)
- Improved large margin classifier via bounding hyperellipsoid (Q6052692) (← links)
- Unified SVM algorithm based on LS-DC loss (Q6134358) (← links)
