On discriminative learning of prediction uncertainty | 0 | 0.34 | 2019 |
Visual Heart Rate Estimation with Convolutional Neural Network. | 0 | 0.34 | 2018 |
License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. | 0 | 0.34 | 2018 |
Learning data discretization via convex optimization. | 0 | 0.34 | 2018 |
Learning CNNs from weakly annotated facial images. | 0 | 0.34 | 2018 |
Large-scale robust transductive support vector machines. | 4 | 0.41 | 2017 |
Multi-view facial landmark detection by using a 3D shape model | 5 | 0.47 | 2016 |
Multi-view facial landmark detector learned by the Structured Output SVM. | 3 | 0.43 | 2016 |
Learning Invariant Representation for Malicious Network Traffic Detection. | 0 | 0.34 | 2016 |
Optimized Invariant Representation Of Network Traffic For Detecting Unseen Malware Variants | 10 | 0.54 | 2016 |
V-shaped interval insensitive loss for ordinal classification | 4 | 0.43 | 2016 |
Real-time multi-view facial landmark detector learned by the structured output SVM | 11 | 0.55 | 2015 |
Learning Detector of Malicious Network Traffic from Weak Labels | 5 | 0.42 | 2015 |
Consistency of structured output learning with missing labels. | 0 | 0.34 | 2015 |
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. | 5 | 0.41 | 2015 |
FASOLE: Fast Algorithm for Structured Output LEarning. | 0 | 0.34 | 2014 |
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking | 5 | 0.41 | 2014 |
Interval Insensitive Loss for Ordinal Classification. | 0 | 0.34 | 2014 |
Face And Landmark Detection By Using Cascade Of Classifiers | 10 | 0.57 | 2013 |
Bundle Methods For Structured Output Learning - Back To The Roots | 0 | 0.34 | 2013 |
RAVEL: an annotated corpus for training robots with audiovisual abilities | 6 | 0.81 | 2013 |
MORD: Multi-class Classifier for Ordinal Regression. | 1 | 0.36 | 2013 |
Learning Markov Networks by Analytic Center Cutting Plane Method | 1 | 0.37 | 2012 |
Detector of Facial Landmarks Learned by the Structured Output SVM . | 59 | 1.74 | 2012 |
Support Vector Machines as Probabilistic Models. | 12 | 0.83 | 2011 |
COFFIN: A Computational Framework for Linear SVMs | 39 | 1.52 | 2010 |
The SHOGUN Machine Learning Toolbox | 116 | 19.53 | 2010 |
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization | 29 | 4.42 | 2009 |
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization | 29 | 4.42 | 2009 |
Discriminative Learning of Max-Sum Classifiers | 16 | 0.90 | 2008 |
Recognition Of Text With Known Geometric And Grammatical Structure | 0 | 0.34 | 2008 |
Optimized cutting plane algorithm for support vector machines | 63 | 2.22 | 2008 |
Stopping conditions for exact computation of leave-one-out error in support vector machines | 4 | 0.72 | 2008 |
Estimation of fitness landscape contours in EAs | 8 | 0.47 | 2007 |
License plate character segmentation using hidden markov chains | 8 | 0.63 | 2005 |
Simple solvers for large quadratic programming tasks | 5 | 0.54 | 2005 |
Sequential coordinate-wise algorithm for the non-negative least squares problem | 19 | 1.23 | 2005 |
Alignment of sewerage inspection videos for their easier indexing | 0 | 0.34 | 2003 |
Robust subspace mixture models using t-distributions. | 11 | 0.80 | 2003 |
An iterative algorithm learning the maximal margin classifier | 37 | 2.04 | 2003 |
Multi-class support vector machine | 59 | 3.22 | 2002 |
A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians | 0 | 0.34 | 2001 |