Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Pose-Dependent Low-Rank Embedding for Head Pose Estimation
Authors: Handong Zhao, Zhengming Ding, Yun Fu
AAAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on databases CMU-PIE, MIT-CBCL, and extended Yale B with different levels of random noise are conducted and six embedding model based baselines are compared. The consistent superior results demonstrate the effectiveness of our proposed method. |
| Researcher Affiliation | Academia | Handong Zhao , Zhengming Ding and Yun Fu Department of Electrical and Computer Engineering, Northeastern University, Boston, USA, 02115 College of Computer and Information Science, Northeastern University, Boston, USA, 02115 EMAIL |
| Pseudocode | Yes | Algorithm 1 Solving PLRE using ALM; Algorithm 2 PLRE for Head Pose Estimation |
| Open Source Code | No | The paper does not provide an explicit statement about releasing the code or a link to a code repository for the described methodology. |
| Open Datasets | Yes | Database: CMU-PIE (Sim, Baker, and Bsat 2003) [...] MIT-CBCL (Rowley, Baluja, and Kanade 1998; Alvira and Rifkin 2001) [...] Extended Yale B (Georghiades, Belhumeur, and Kriegman 2001) |
| Dataset Splits | Yes | For all experiments, five-fold cross-validation is applied as (Haj, Gonz alez, and Davis 2012). |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., CPU/GPU models, memory) used for the experiments. |
| Software Dependencies | No | The paper does not provide specific version numbers for any software dependencies or libraries used in the experiments. |
| Experiment Setup | Yes | all the analytical experiments are conducted on CMU-PIE with the parameters set as m = 100, β = 10, γ = 1 and λ = 0.1. |