Skip to search formSkip to main contentSkip to account menu

Feature hashing

Known as: Hash trick, Hashtrick, Hashing trick 
In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of… 
Wikipedia (opens in a new tab)

Related topics

Related topics

24 relations
Apache MahoutApache SparkBloom filterCount–min sketch

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Real-Time Detection of Fall From Bed Using a Single Depth Camera
Toward the medical and living healthcare for the elderly and patients, fall from bed is a critical accident that may lead to… 
2019
2019
A scalable and extensible framework for android malware detection and family attribution
2018
2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Feature selection is an important challenge in machine learning. It plays a crucial role in the explainability of machine-driven… 
2016
2016
Malware provenance: code reuse detection in malicious software at scale
Detecting code reuse in software has applications in malicious code analysis and in malware code search and retrieval, but is… 
2016
2016
Fast trajectory clustering using Hashing methods
There has been an explosion in the usage of trajectory data. Clustering is one of the simplest and most powerful approaches for… 
2014
2014
Evidence for a global access deficit to the meaning of numerical symbols in people with Williams syndrome.
They showed a smaller subitizing range in accordance to what would be expected on the basis or their visuo-spatial capacities… 
Highly Cited
2012
Highly Cited
2012
The Best of Both Worlds – A Graph-based Completion Model for Transition-based Parsers
Transition-based dependency parsers are often forced to make attachment decisions at a point when only partial information about… 
2011
2011
Gangsters, Pranksters, and the Invention of Trick-or-Treating, 1930-1960.
For most children in North America, Halloween is one of the most exciting holidays of the year. But some critics insist that its… 
2010
2010
Real-time Visual Tracking Using Sparse Representation
The $\ell_1$ tracker obtains robustness by seeking a sparse representation of the tracking object via $\ell_1$ norm minimization… 
Highly Cited
2009
Highly Cited
2009
Collaborative Email-Spam Filtering with the Hashing-Trick
This paper delves into a recently proposed technique for collaborative spam ltering [7] that facilitates personalization 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)