Skip to search formSkip to main contentSkip to account menu

Similarity learning

Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2014
Review
2014
We present the Weltmodell, a commonsense knowledge base that was automatically generated from aggregated dependency parse… 
2014
2014
Paper currency recognition is an important concern for automation to improve our daily monetary activities. Such recognition… 
2011
2011
Nowadays, it is not uncommon that organisations maintain repositories containing hundreds or thousands of business process models… 
2010
2010
Mutual information (MI) was introduced for use in multimodal image registration over a decade ago [1,2,3,4]. The MI between two… 
2008
2008
This paper is concerned with the design of a novel approach for constructing Conversational Agents (CA) using sentence similarity… 
2005
2005
There are several different approaches to video retrieval which vary in sophistication, and in the level of their deployment… 
2004
2004
This paper presents the design and evaluation of the Visual Identification Protocol (VIP) an innovative solution to user… 
2004
2004
The systematic testing of the very many parameters and algorithmic variants involved in the design of high-level music… 
2000
2000
Sixty-three quadrats each of 16 ha were chosen to represent the geographical extent and diversity of terrestrial environments in… 
1996
1996
  • S. SantiniR. Jain
  • 1996
  • Corpus ID: 16925951
We show that a certain class of similarity measures, which is based on set-theoretic concepts, and explains many of the…