Sparsity Conditional Energy Label Distribution Learning for Age Estimation
Authors: Xu Yang, Xin Geng, Deyu Zhou
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiment results in two age datasets show remarkable advantages of the proposed SCE-LDL model over the previous proposed age estimation methods. |
| Researcher Affiliation | Academia | Key Lab of Computer Network and Information Integration (Ministry of Education) School of Computer Science and Engineering, Southeast University, Nanjing 211189, China. {x.yang,xgeng,d.zhou}@seu.edu.cn |
| Pseudocode | Yes | The learning algorithm is given in the Algorithm 1. Algorithm 1 Learning algorithm of SCE-LDL |
| Open Source Code | No | The paper does not provide an explicit statement or link for the release of its source code. |
| Open Datasets | Yes | Two datasets are used in our experiments: MORPH [Ricanek Jr and Tesafaye, 2006] and the dataset provided by Cha Learn [Escalera et al., 2015]. |
| Dataset Splits | Yes | In the first experiment, MORPH dataset is randomly split into 10 chunks. Each time, 1 chunk is used as the testing set and the rest 9 chunks are used as the training set. This procedure is repeated 10 folds... There are totally 3,615 human images can be utilized in this dataset: 2,479 in the training set and 1,136 in the validation set. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory, or processing units) used for running the experiments. |
| Software Dependencies | No | The paper mentions using DPM model [Mathias et al., 2014] and a public available facial point detector software [Sun et al., 2013], but does not provide specific version numbers for any software dependencies. |
| Experiment Setup | Yes | Some parameters used in the experiments are set as follows: the number of maximum iteration tmax is 30 and the learning rate is 0.1. ... The number of hidden units R is set as 150 and the λ is set as 0.005. |