Le-le Cao

According to our database1, Le-le Cao authored at least 14 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Real-Time Recurrent Tactile Recognition: Momentum Batch-Sequential Echo State Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2020

End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble.
Cogn. Comput., 2018

Advancing the incremental fusion of robotic sensory features using online multi-kernel extreme learning machine.
Frontiers Comput. Sci., 2017

Benchmark for road marking detection: Dataset specification and performance baseline.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Fix-Budget and Recurrent Data Mining for Online Haptic Perception.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Building feature space of extreme learning machine with sparse denoising stacked-autoencoder.
Neurocomputing, 2016

Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning.
CoRR, 2016

A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Optimization-based multikernel extreme learning for multimodal object image classification.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014