Search Results for author: Wei-Jie Chen

Found 8 papers, 2 papers with code

Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss

no code implementations1 Mar 2022 Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li

Recent advance on linear support vector machine with the 0-1 soft margin loss ($L_{0/1}$-SVM) shows that the 0-1 loss problem can be solved directly.

Unsupervised Image Classification for Deep Representation Learning

1 code implementation20 Jun 2020 Wei-Jie Chen, ShiLiang Pu, Di Xie, Shicai Yang, Yilu Guo, Luojun Lin

Extensive experiments on ImageNet dataset have been conducted to prove the effectiveness of our method.

Classification Clustering +13

Neural Inheritance Relation Guided One-Shot Layer Assignment Search

no code implementations28 Feb 2020 Rang Meng, Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu

In this paper, for the first time, we systematically investigate the impact of different layer assignments to the network performance by building an architecture dataset of layer assignment on CIFAR-100.

Neural Architecture Search Relation

Multiple Flat Projections for Cross-manifold Clustering

no code implementations17 Feb 2020 Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng

In this paper, we propose a Multiple Flat Projections Clustering (MFPC) to deal with cross-manifold clustering problems.

Clustering

All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification

3 code implementations CVPR 2019 Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu

In this family of architectures, the basic block is only composed by 1x1 convolutional layers with only a few shift operations applied to the intermediate feature maps.

General Classification Image Classification +1

A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks

no code implementations17 Dec 2018 Wei-Jie Chen, Yuan Zhang, Di Xie, ShiLiang Pu

A better alternative is to propagate the entire useful information to reconstruct the pruned layer instead of directly discarding the less important neurons.

Look into My Eyes: Fine-grained Detection of Face-screen Distance on Smartphones

no code implementations13 Dec 2016 Zhuqi Li, Wei-Jie Chen, Zhenyi Li, Kaigui Bian

The detection of face-screen distance on smartphone (i. e., the distance between the user face and the smartphone screen) is of paramount importance for many mobile applications, including dynamic adjustment of screen on-off, screen resolution, screen luminance, font size, with the purposes of power saving, protection of human eyesight, etc.

Networking and Internet Architecture

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