Shape quantization and recognition with randomized trees
Neural Computation
Machine Learning
Binary Rule Generation via Hamming Clustering
IEEE Transactions on Knowledge and Data Engineering
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Generic Object Recognition with Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A binary classification and online vision
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Region covariance: a fast descriptor for detection and classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A pipelined architecture for real-time correction of barrel distortion in wide-angle camera images
IEEE Transactions on Circuits and Systems for Video Technology
Kerneltron: support vector "machine" in silicon
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...