Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection
Authors: Yash Satsangi, Shimon Whiteson, Frans Oliehoek
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on a realworld dataset from a multi-camera tracking system in a shopping mall show it achieves similar performance to existing methods but incurs only a fraction of the computational cost, leading to much better scalability in the number of cameras. |
| Researcher Affiliation | Academia | Yash Satsangi and Shimon Whiteson Informatics Institute, University of Amsterdam Amsterdam, The Netherlands {y.satsangi,s.a.whiteson}@uva.nl Frans A. Oliehoek Informatics Institute, University of Amsterdam Dept. of CS, University of Liverpool frans.oliehoek@liverpool.ac.uk |
| Pseudocode | Yes | Algorithm 1 greedy-argmax(F, X, K) |
| Open Source Code | No | The paper does not mention releasing source code or provide any links for its implementation. |
| Open Datasets | Yes | The problem was extracted from a real-world dataset collected in a shopping mall (Bouma et al. 2013). |
| Dataset Splits | No | The paper does not specify validation splits or proportions (e.g., 'X% for validation'). |
| Hardware Specification | No | The paper does not provide any specific hardware details used for running the experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper does not provide specific experimental setup details such as hyperparameters, training configurations, or system-level settings. |