Sentence examples for learning projection from inspiring English sources
170 sentences (5 sentences each person) were selected randomly as the training data for learning projection matrices in different subspaces.
550 sentences (5 sentences each person) were selected randomly as the training data for learning projection matrix in different subspaces and 32 dimension sparse tensor representation are extracted.
Current approaches to gait recognition under various viewing angles can be classified into one of the three major categories: (1) extraction of view-invariant gait feature, (2) generation of three-dimensional (3D) gait information, and (3) learning projection or mapping functions to transform gait features from various views into a common feature space.
local learning projection.
Wu et al. (2007) proposed the local learning projection (LLP) method to solve this problem.
By unifying the graph learning, projection learning and label propagation into a joint optimization framework, the proposed GESR-LR method can guarantee an overall optimum solution. .
Besides, Yao et al. present a novel deep semantic-preserving and ranking-based hashing architecture, which jointly learns projections from image representations to hash codes and classification [73].
Meanwhile, the SLDML is supervised by both biased distance and continuous head pose angle information when constructing the graph, embedding the graph and learning the projection function.
The proposed method aims at learning a projection matrix and a dictionary such that in the low dimension subspace the between-class reconstruction residual of a given data set is maximized and the within-class reconstruction residual is minimized.
When it comes to the pedagogical practices, the eSchoolbag is often regarded as an intelligent teaching and learning system that installed on a Table PC, equipping with electronic textbooks, learning resources, projection display services and teaching control functions (Xie et al., 2015).
This year saw 5,000 people camp out at the festival along with Kimchi and Chips, who were invited over to run workshops for Russians interested in learning about projection mapping.
