0031-3203

Pattern Recognition (PR) - Volume 75 论文列表

本期论文列表
Editorial Board

Distance metric learning for pattern recognition

Learning structured ordinal measures for video based face recognition

Video-based kinship verification using distance metric learning

Supervised deep hashing for scalable face image retrieval

Collaborative discriminative multi-metric learning for facial expression recognition in video

Multiple face tracking and recognition with identity-specific localized metric learning

Distance metric optimization driven convolutional neural network for age invariant face recognition

Cross-view semantic projection learning for person re-identification

Multi-type attributes driven multi-camera person re-identification

Person re-identification via integrating patch-based metric learning and local salience learning

Feedback mechanism based iterative metric learning for person re-identification

Gestalt laws based tracklets analysis for human crowd understanding

Robust discrete code modeling for supervised hashing

Adaptive hash retrieval with kernel based similarity

Collaborative multiview hashing

Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks

Quantization-based hashing: a general framework for scalable image and video retrieval

Efficient multi-modal geometric mean metric learning

Discriminative metric learning for multi-view graph partitioning

Cross modal similarity learning with active queries

Topic driven multimodal similarity learning with multi-view voted convolutional features

Semi-supervised transfer subspace for domain adaptation

Parametric local multiview hamming distance metric learning

3D neuron tip detection in volumetric microscopy images using an adaptive ray-shooting model

Locality constraint distance metric learning for traffic congestion detection

Nonlinear dictionary learning with application to image classification

A parasitic metric learning net for breast mass classification based on mammography

OPML: A one-pass closed-form solution for online metric learning

Learning local metrics from pairwise similarity data

Learn to model blurry motion via directional similarity and filtering