LearningPsychologicalSpaces: Learning a Mapping From Images Into MDS-Based Similarity Spaces

• added statistical analysis of the raw data set (conceptual vs. visual dissimilarity ratings, pre-attentive vs. attentive feature ratings, correlation of feature ratings across different features)

Machine Learning Study with CNNs on Shapes Data

• Added experiments with autoencoder structure

Machine Learning Study with CNNs on Shapes Data

• added code for training a CNN from scratch on sketches and line drawings
• several experiments for transfer learning, multi-task learning, and generalization to other target spaces

Study on Multidimensional Scaling and Neural Networks on the NOUN Dataset

• major refactoring of the code base
• added functionality with respect to Shapes study
• re-ran experiments with updated code

Study on Multidimensional Scaling and Neural Networks on the NOUN Dataset

• Multiple minor updates on scripts (also with respect to the forthcoming Shapes study)
• re-ran the whole pipeline (updated results)

Study on Multidimensional Scaling and Neural Networks on the NOUN Dataset

A thorough update of our study on the NOUN dataset:

• analyzing different MDS algorithms (metric vs. nonmetric)
• two pixel-based baselines (downscaled images and ANN activations)
• Scree plot and correlation analysis
• 3 machine learning experiments varying feature space, MDS algorithm, and dimensionality of target space

Study on Multidimensional Scaling and Neural Networks on the NOUN Dataset

A thorough update of our study on the NOUN dataset:

• analyzing different MDS algorithms (metric vs. nonmetric)
• two pixel-based baselines (downscaled images and ANN activations)
• Scree plot and correlation analysis
• 3 machine learning experiments varying feature space, MDS algorithm, and dimensionality of target space

LearningPsychologicalSpaces v0.1

First pre-release of our code as used for the paper "Mapping Images to Psychological Similarity Spaces Using Neural Networks" (submitted to AIC 2018).