In this paper, we present a fast and accurate method for the classification of web content. Our algorithm uses the visual information of the main homepage saved in an image format …
In this paper we present a methodology and the corresponding Python library1 for the classification of webpages. The method retrieves a fixed number of images from a given …
In this paper, we present a novel approach to the verification of users through their own handwritten static signatures using the extreme learning machine (ELM) methodology. Our …
This paper proposes a block solution method for the Extreme Learning Machine. It combines the speed of a direct non-iterative solver with minimal memory requirements. The method is …
This paper presents an extension of the well-known Extreme Learning Machines (ELMs). The main goal is to provide probabilities as outputs for Multiclass Classification problems …
Abstract Extreme Learning Machine (ELM) is a recently discovered way of training Single Layer Feed-forward Neural Networks with an explicitly given solution, which exists because …
Basic image segmentation is a fairly simple task for human beings and even young children can accomplish it naturally, but for machines, this can be a burdensome and difficult task …
KM Björk - Proceedings of ELM2019, 2020 - books.google.com
In this paper, we present a novel approach to the verification of users through their own handwritten static signatures using the extreme learning machine (ELM) methodology. Our …
KM Björk - Proceedings of ELM2019, 2020 - books.google.com
In this paper, we present a fast and accurate method for the classification of web content. Our algorithm uses the visual information of the main homepage saved in an image format …