Positive Semidefinite Metric Learning Using Boosting-like Algorithms

Positive Semidefinite Metric Learning with Boosting

Posterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior

Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior

Preprocessing for Automating Early Detection of Cervical Cancer

Preprocessing: A Step in Automating Early Detection of Cervical Cancer

Principal Component Analysis-Linear Discriminant Analysis Feature Extractor for Pattern Recognition

Probabilistic Motion Estimation Based on Temporal Coherence

Probabilistic prototype models for attributed graphs

Probabilistic Search for Object Segmentation and Recognition

Profile Based Sub-Image Search in Image Databases

Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals

Proliferating cell nuclear antigen (PCNA) allows the automatic identification of follicles in microscopic images of human ovarian tissue

Properties of the Discrete Pulse Transform for Multi-Dimensional Arrays

Prosody Based Co-analysis for Continuous Recognition of Coverbal Gestures

Prostate biopsy tracking with deformation estimation

Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition

Randomized hybrid linear modeling by local best-fit flats

Rational Radial Distortion Models with Analytical Undistortion Formulae

Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation