Early and Reliable Event Detection Using Proximity Space Representation
Authors: Maxime Sangnier, Jerome Gauthier, Alain Rakotomamonjy
ICML 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experimental studies provide compelling results on toy data, presenting the trade-off that occurs when aiming at accuracy, earliness and reliability. Results on real physiological and video datasets show that our proposed approach is as accurate and early as state-of-the-art algorithm, while ensuring reliability and being far more efficient to learn. |
| Researcher Affiliation | Academia | Maxime Sangnier MAXIME.SANGNIER@TELECOM-PARISTECH.FR LTCI, CNRS, T el ecom Paris Tech, Universit e Paris-Saclay, 75013, Paris, France Jerome Gauthier JEROME.GAUTHIER@CEA.FR LADIS, CEA, LIST, 91191, Gif-sur-Yvette, France Alain Rakotomamonjy ALAIN.RAKOTO@INSA-ROUEN.FR Normandie Universit e, UR, LITIS EA 4108, Avenue de l universit e, 76801, Saint-Etienne-du-Rouvray, France |
| Pseudocode | Yes | Algorithm 1 Algorithm to learn a an early detector. 1: A random sample of indexes between 1 and m 2: repeat 3: Q yik(X(i) 1..T , pj) j A, 1 i n 4: β solve Problem (4) 5: j arg min 1 j m ((Qβ)j + µj) 6: j+ arg max 1 j m ((Qβ)j µj) 7: if µj λ (Qβ)j and (Qβ)j+ µj+ then 8: convergence 9: else if µj λ > (Qβ)j then 10: A A {j } 11: else 12: A A {j+} 13: end if 14: until convergence |
| Open Source Code | Yes | Matlab R code ran on a single core of an Intel R Xeon R E5-2630 CPU, operating at 2.4 GHz with GNU/Linux and 144 Gb of RAM. In addition, this code is available on the authors websites. |
| Open Datasets | Yes | For this experiment, we used the publicly available dataset 2a from BCI competition IV (Brunner et al., 2008).As a video-based experiment, we consider the extended Cohn-Kanade dataset (CK+) (Lucey et al., 2010). |
| Dataset Splits | Yes | C is obtained through a 5-fold crossvalidation (maximizing the AUROC) on the following grid [2 2, 20, . . . , 210]. |
| Hardware Specification | Yes | Matlab R code ran on a single core of an Intel R Xeon R E5-2630 CPU, operating at 2.4 GHz with GNU/Linux and 144 Gb of RAM. |
| Software Dependencies | No | The paper mentions 'Matlab R code' and 'GNU/Linux', and mentions 'lpsolve (Berkelaar et al., 2004)' as a tool, but does not provide specific version numbers for Matlab or lpsolve, or any other key software components used for the experiments. |
| Experiment Setup | Yes | The parameter γ that defines the landmarking space is set to 2 1 (default value for normalized data).C is obtained through a 5-fold crossvalidation (maximizing the AUROC) on the following grid [2 2, 20, . . . , 210]. |