Results 231 to 240 of about 49,141 (264)

MLP based Pedestrian Counting

Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016
In this paper, we presented an efficient pedestrian counting method for estimating the total number of crowed pedestrians in the video. For this, it detect interest points of the foreground area and the principal components of features - the number of foreground pixels, the number of edge pixels, and textures.
Kang-Min Kim, Gyu-Jin Kim, Gyu-Jin Jang, Young-Nam Kim, Moon-Hyun Kim   +4 more
openaire   +1 more source

An analysis of underfitting in MLP networks

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
The generalization ability of an MLP network has been shown to be related to both the number and magnitudes of the network weights. Thus, there exists a tension between employing networks with few weights that have relatively large magnitudes, and networks with a greater number of weights with relatively small magnitudes. The analysis presented in this
Sridhar Narayan, Gene A. Tagliarini
openaire   +1 more source

MLP-Pose: Human Pose Estimation by MLP-Mixer

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2021
Songkai Xiong, Zhaowei Qu, Yiran Wang, Xiaoru Wang, Han Xia   +4 more
openaire   +1 more source

Deep MLPs for Imbalanced Classification

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Abstract–Classification over imbalanced datasets is a highly interesting topic given that many real-world classification problems present a concrete class with a much smaller number of patterns than the others. In this work we shall explore the use of large, fully connected and potentially deep MLPs in such problems.
David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro   +2 more
openaire   +1 more source

MLP-Mixer as a Wide and Sparse MLP.

CoRR, 2023
Tomohiro Hayase, Ryo Karakida
openaire   +1 more source

MLP-Stereo: Heterogeneous Feature Fusion in MLP for Stereo Matching

2022 IEEE International Conference on Image Processing (ICIP), 2022
Shuiqiang Ye, Pengcheng Zeng, Pengfei Li, Weiqi Wang, Xin'an Wang, Yong Zhao 0010   +5 more
openaire   +1 more source

EEG-MLP: An all-MLP Architecture for EEG Emotion Recognition

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Dunhui Liu, Liying Yang 0001, Pei Ni, Qiang Wang, Haoxuan Sun, Qian Zhang 0074, Chengchuang Tang   +6 more
openaire   +1 more source

MLP classifiers: overtraining and solutions

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
Training a multi-layer perceptron (MLP) classifier is difficult to control and as a result its performance on unseen patterns is unpredicted. Overtraining is one of many problems in training an MLP classifier. In this paper, the author first discusses the overtraining problem based on an artificial two-input two-category classification problem.
openaire   +1 more source

Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model

Chaos, Solitons and Fractals, 2021
Fatemeh Haghighat
exaly  

Multi-Scale MLP-Mixer for image classification

Knowledge-Based Systems, 2022
Siyuan He
exaly