## Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition

- Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
- ACM Multimedia
- 2016

Learning distance metrics from data is a fundamental problem in machine learning and useful way to extract data-driven features by using the matrix root of a distance matrix. Finding a proper metric amounts to optimization over the cone of positive definite (PD) matrices. This optimization is difficult since restricting optimization to remain within the PD… (More)

- Sparse matrix
- Comet (programming)
- Program optimization
- Machine learning
- Document classification
- Coordinate descent
- The Matrix
- Distance matrix
- Feature extraction
- Cone (formal languages)
- Rate of convergence
- With high probability
- Run time (program lifecycle phase)
- Computation
- Image gradient
- B-tree
- Cholesky decomposition
- Benchmark (computing)