research
∙
04/13/2023
Improving novelty detection with generative adversarial networks on hand gesture data
We propose a novel way of solving the issue of classification of out-of-...
share
research
∙
01/07/2021
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Recently, a common starting point for solving complex unsupervised image...
research
∙
07/26/2018
Semantically Meaningful View Selection
An understanding of the nature of objects could help robots to solve bot...
research
∙
04/12/2018
Unsupervised robotic sorting: Towards autonomous decision making robots
Autonomous sorting is a crucial task in industrial robotics which can be...
research
∙
07/10/2017
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras
Unlike classification, position labels cannot be assigned manually by hu...
research
∙
07/06/2017
CNN features are also great at unsupervised classification
This paper aims at providing insight on the transferability of deep CNN ...
research
∙
03/22/2017
Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm
This paper describes a method for clustering data that are spread out ov...
research
∙
01/05/2017
