Patch distribution compatible semisupervised dimension reduction for face and human gait recognition

• المؤلفون الرئيسيون: Huang, Yi, Xu, Dong, Nie, Feiping
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102715; http://hdl.handle.net/10220/16418

We propose a new semisupervised learning algorithm, referred to as patch distribution compatible semisupervised dimension reduction, for face and human gait recognition. Each image (a face image or an average human silhouette image) is first represented as a set of local patch features and it is fur...