PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis
ACM Transactions on Mathematical Software (TOMS)
Random projection and orthonormality for lossy image compression
Image and Vision Computing
| Hi-index | 0.00 |