Search
Selected: All

Biometric Authorization System using Gait Biometry

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Blind Detection and Compensation of Camera Lens Geometric Distortions

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Boosting k-NN for categorization of natural scenes

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Boosting the Differences: A fast Bayesian classifier neural network

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Bounded Multivariate Surfaces On Monovariate Internal Functions

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Bounding the Probability of Error for High Precision Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Breast Cancer Detection Using Multilevel Thresholding

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Building the information kernel and the problem of recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Camera Calibration: a USU Implementation

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Camera distortion self-calibration using the plumb-line constraint and minimal Hough entropy

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Camera motion estimation through planar deformation determination

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Channel-Independent and Sensor-Independent Stimulus Representations

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of curves in 2D and 3D via affine integral signatures

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of fused face images using multilayer perceptron neural network

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of Fused Images using Radial Basis Function Neural Network for Human Face Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification Of Gradient Change Features Using MLP For Handwritten Character Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of Log-Polar-Visual Eigenfaces using Multilayer Perceptron

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of LULC Change Detection using Remotely Sensed Data for Coimbatore City, Tamilnadu, India

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron for Human Face Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0
  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.