publication venue for
- Semantics-enhanced early action detection using dynamic dilated convolution. 140:109595-109595. 2023
- DeepSIR: Deep semantic iterative registration for LiDAR point clouds. 137:109306-109306. 2023
- Single image super-resolution based on progressive fusion of orientation-aware features. 133:109038-109038. 2023
- LiDAR-based localization using universal encoding and memory-aware regression. 128:108685-108685. 2022
- Learning scale awareness in keypoint extraction and description. 121:108221-108221. 2022
- Spatial context-aware network for salient object detection. 114:107867-107867. 2021
- FeatFlow: Learning geometric features for 3D motion estimation. 111:107574-107574. 2021
- Robust procedural model fitting with a new geometric similarity estimator. 85:120-131. 2019
- A fast Branch-and-Bound algorithm for U-curve feature selection. 73:172-188. 2018
- Convex clustering with metric learning. 81:575-584. 2018
- Sparse Exponential Family Principal Component Analysis.. 60:681-691. 2016
- Discrete optimal Bayesian classification with error-conditioned sequential sampling. 48:3766-3782. 2015
- Moments and Root-Mean-Square Error of the Bayesian MMSE Estimator of Classification Error in the Gaussian Model.. 47:2178-2192. 2014
- Analytical Study of Performance of Linear Discriminant Analysis in Stochastic Settings.. 46:3017-3029. 2013
- Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis. 46:1288-1300. 2013
- Optimal classifiers with minimum expected error within a Bayesian framework-Part I: Discrete and Gaussian models. 46:1301-1314. 2013
- The reliability of estimated confidence intervals for classification error rates when only a single sample is available. 46:1067-1077. 2013
- 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.. 46:2783-2797. 2013
- Relationship between the accuracy of classifier error estimation and complexity of decision boundary. 46:1315-1322. 2013
- Discriminant sparse neighborhood preserving embedding for face recognition. 45:2884-2893. 2012
- Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model. 45:908-917. 2012
- Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems. 44:1834-1840. 2011
- Performance of feature-selection methods in the classification of high-dimension data. 42:409-424. 2009
- On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. 42:2705-2723. 2009
- Model-based evaluation of clustering validation measures. 40:807-824. 2007
- Optimal convex error estimators for classification. 39:1763-1780. 2006
- Impact of error estimation on feature selection. 38:2472-2482. 2005
- The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics. 38:2226-2228. 2005
- Optimal robust classifiers. 38:1520-1532. 2005
- The coefficient of intrinsic dependence (feature selection using el CID). 38:623-636. 2005
- Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution. 38:403-421. 2005
- Exact performance of error estimators for discrete classifiers. 38:1799-1814. 2005
- Classifier performance as a function of distributional complexity. 37:1641-1651. 2004
- A probabilistic theory of clustering. 37:917-925. 2004
- Bolstered error estimation. 37:1267-1281. 2004
- Optimal linear granulometric estimation for random sets. 35:1315-1325. 2002
- Non-homothetic granulometric mixing theory with application to blood cell counting. 34:2547-2560. 2001
- Morphological granulometric estimation of random patterns in the context of parameterized random sets. 34:1207-1217. 2001
- An algorithm for the rapid computation of boundaries of run-length encoded regions. 33:1637-1649. 2000
- A switching algorithm for design of optimal increasing binary filters over large windows. 33:1059-1081. 2000
- Heterogeneous morphological granulometries. 33:1047-1057. 2000
- Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions. 31:53-61. 1998
- Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In situ hybridization. 29:987-996. 1996
- Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries. 28:81-98. 1995
- Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments. 25:1181-1198. 1992