Multi-view Self-Paced Learning for Clustering
Authors: Chang Xu, Dacheng Tao, Chao Xu
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on toy and real-world data demonstrate the efficacy of the proposed algorithm. |
| Researcher Affiliation | Academia | Key Lab. of Machine Perception (Ministry of Education) Peking University, Beijing 100871, China Centre for Quantum Computation and Intelligent Systems University of Technology, Sydney 2007, Australia |
| Pseudocode | No | The paper describes the optimization steps and equations, but does not include formal pseudocode or an algorithm block. |
| Open Source Code | No | The paper does not provide any explicit statement or link regarding the availability of its source code. |
| Open Datasets | Yes | The Handwritten Numerals dataset is composed of 2000 examples from 0 to 9 ten-digit classes. Six kinds of features are used to represent each example... The Animal with attribute dataset contains 30475 examples from 50 classes and described by six features... |
| Dataset Splits | No | The paper references datasets used but does not specify any explicit training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not specify any hardware details (e.g., CPU, GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not mention any specific software dependencies or their version numbers. |
| Experiment Setup | Yes | The initial λ is set such that more than half of examples (views) are selected, and then it is iteratively decreased. |