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Bigeometric Organization of Deep Nets
The dataset is used to demonstrate the bigeometric organization of deep nets. It contains hospital quality data from the Center for Medicare and Medicaid Services Hospital... -
Lakeland Game Telemetry Data
The dataset used in this paper is a collection of game telemetry data from the game Lakeland, which is an open-ended, achievement-driven game. -
Lederman-Talmon Dataset
The dataset used in the paper is a dataset from Lederman and Talmon. It contains two figurines rotating at different speeds. -
Kuramoto-Sivashinsky Equation
The Kuramoto-Sivashinsky equation is a model for spatiotemporal chaos. The Kuramoto-Sivashinsky equation is expressed as: yt = −yyx − yxx − yxxxx -
Genus Two Surface
The dataset used in the paper is a synthetic dataset of a genus two surface. It contains a densely sampled surface of genus two. -
Synthetic Neuroscience Example
The dataset used in the paper is a synthetic dataset inspired by the types of neuronal responses to stimuli. It contains three populations of neurons tuned to elevation,... -
Multiple Penalized Principal Curves: Analysis and Computation
The dataset is used to test the proposed approach for finding one-dimensional structures in data. -
SCP dataset
SCP dataset used for benchmarking and quality control -
Breast Cancer Dataset
Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the... -
Dry Bean Dataset
The Dry Bean Dataset is a collection of data related to dry bean yield and quality. -
Flutter flight test data
Flutter flight test data from three test points, with five maneuvers per test point, and 92 sensors. -
LOCA: LOcal Conformal Autoencoder
The LOCA dataset is a collection of distorted neighborhoods of a fixed size of data samples. -
Yeast dataset
The Yeast dataset is a graph dataset constructed based on the interactions between proteins. Each node represents a gene. The gene code information is set as the feature of...