In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
—The issue of transferring facial performance from one person’s face to another’s has been an area of interest for the movie industry and the computer graphics community for ...
Akshay Asthana, Miles de la Hunty, Abhinav Dhall, ...
In this paper, a face pose estimation method and its application in video shot selection for face image preprocessing is introduced. The pose estimator is learned by a boosting re...
Bo Wu, Haizhou Ai, Lianhong Cai, Shihong Lao, Zhig...
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...