Euler Sparse Representation for Image Classification
Authors: Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experimental results illustrate that Euler SRC outperforms traditional SRC and achieves better performance for image classification. |
| Researcher Affiliation | Academia | Yang Liu,1 Quanxue Gao,1 Jungong Han,2 Shujian Wang 1 1State Key Laboratory of Integrated Services Networks, Xidian University, Xi an, China 2School of Computing and Communications, Lancaster University, United Kingdom |
| Pseudocode | Yes | According to the fixed point iteration algorithm and Eq. (16), we summarize the pseudo code for solving the objective function (7) in Algorithm 1. Algorithm 1: Euler SRC algorithm |
| Open Source Code | No | The paper does not include any statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | The AR database (Martinez 1998); The COIL20 database (Nene et al. 1996); The CMU PIE database (Sim, Baker, and Bsat 2002); The LFWCrop database (Sanderson and Lovell 2009; Huang et al. 2007). |
| Dataset Splits | No | The paper describes training and testing splits for various datasets (e.g., 960 training images and 1440 testing images for AR Experiment 1, 90% training for LFWCrop), but it does not explicitly define or refer to a separate "validation" dataset split. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to run the experiments, such as GPU models, CPU types, or memory. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers (e.g., programming languages, libraries, or frameworks). |
| Experiment Setup | Yes | In the experiments, α = 0.5, PCA and down-sampling are selected as preprocessing for each approach respectively, where PCA reduces dimensionality to 200. In Euler SRC, we set γ = 1.9 in the following experiments. |