A study on the relationship between the rank of input data and the performance of random weight neural network
Random feature mapping (RFM) is the core operation in the random weight neural network
(RWNN). Its quality has a significant impact on the performance of a RWNN model …
(RWNN). Its quality has a significant impact on the performance of a RWNN model …
Hyperspectral image classification based on multiple reduced kernel extreme learning machine
F Lv, M Han - International Journal of Machine Learning and …, 2019 - Springer
This paper presents an efficient hyperspectral images classification method based on
multiple reduced kernel extreme learning machine (MRKELM). The MRKELM model is …
multiple reduced kernel extreme learning machine (MRKELM). The MRKELM model is …
Network embedding based on deep extreme learning machine
Network embedding, which learns low-dimensional representations for each node with the
goal of capturing and preserving the complex structure of original networks, has shown its …
goal of capturing and preserving the complex structure of original networks, has shown its …
An ELM based local topology preserving hashing
Y Liu, L Feng, S Liu, M Sun - International Journal of Machine Learning …, 2019 - Springer
Hashing learning has become one of the most active research areas in computer vision and
multimedia information retrieval with the explosively boosted data volume. Mainstream …
multimedia information retrieval with the explosively boosted data volume. Mainstream …