Decentralized Robust Subspace Clustering
Authors: Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris Metaxas
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate our algorithm on a shared-memory architecture. Experimental results on real-world datasets confirm that the proposed block-wise ADMM framework is substantially more efficient than its matrix counterpart used by SSC, without sacrificing accuracy. |
| Researcher Affiliation | Academia | Department of Computer Science, Rutgers, The State University of New Jersey Jiangsu Province Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology |
| Pseudocode | Yes | Algorithm 1: The processing of ADMM-DSSC when calculating Ci and Ei. |
| Open Source Code | No | The paper does not provide concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described. |
| Open Datasets | Yes | We test DSSC-ADMM on the hand written digits image dataset MINIST (Le Cun et al. 1998). ... CIFAR10 is composed of 60000 images from 10 categories (Krizhevsky and Hinton 2009). |
| Dataset Splits | No | The paper mentions selecting 5000 or 1500 images per digit for datasets but does not explicitly provide training/validation/test dataset splits with percentages, sample counts, or predefined split citations for reproducibility. |
| Hardware Specification | Yes | The algorithm is implemented in Matlab and tested on a cluster with 2.7GHz CPUs and 128GB RAM. |
| Software Dependencies | No | The paper states 'The algorithm is implemented in Matlab' but does not specify a version number for Matlab or any other key software components used in the experiments. |
| Experiment Setup | Yes | The optimization termination criterion is set as C(t) C(t 1) T 0.01, E(t) E(t 1) T 0.01 or 200 iterations is reached. ... We empirically set λ1 = 0.67. m is chosen to be 2,3,4,5 and 6, respectively. ... The parameters λ1 and λ2 are set to be 0.67 and 1.5, respectively. |