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Feature hashing
Known as:
Hash trick
, Hashtrick
, Hashing trick
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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…
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24 relations
Apache Mahout
Apache Spark
Bloom filter
Count–min sketch
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Deep Hashing for Signed Social Network Embedding
Jia-Nan Guo
,
Xian-Ling Mao
,
Xiao-Jian Jiang
,
Yingxiang Sun
,
Wei Wei
,
Heyan Huang
arXiv.org
2019
Corpus ID: 199552178
Network embedding is a promising way of network representation, facilitating many signed social network processing and analysis…
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2018
2018
A Novel Feature Hashing With Efficient Collision Resolution for Bag-of-Words Representation of Text Data
Bobby A. Eclarin
,
Arnel C. Fajardo
,
Ruji P. Medina
International Conference on Natural Language…
2018
Corpus ID: 54062927
Text Mining is widely used in many areas transforming unstructured text data from all sources such as patients' record, social…
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2018
2018
Mètodes d'eficiència aplicats a les xarxes neuronals
David Bosch Sepulveda
,
Joan Serrat Gual
2018
Corpus ID: 196126997
L’objectiu d’aquest projecte es basa en estudiar l’aplicacio de metodes d’eficiencia sobre les xarxes neurals, els quals busquen…
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2017
2017
Sketchy Inference : Towards Streaming LDA
Jean-Baptiste Tristan
,
Michael L. Wick
2017
Corpus ID: 30428317
Recent developments in inference algorithms based on stochastic Expectationmaximization or stochastic cellular automata (SCA…
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2016
2016
Cross-View Feature Hashing for Image Retrieval
Wei Wu
,
Bin Li
,
Ling Chen
,
Chengqi Zhang
Pacific-Asia Conference on Knowledge Discovery…
2016
Corpus ID: 41257874
Traditional cross-view information retrieval mainly rests on correlating two sets of features in different views. However…
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2014
2014
A Novel Feature Hashing for Text Mining
C. Mert
Journal of Technical Science and Technologies
2014
Corpus ID: 60883749
This study focuses on the second group of hashing algorithms and criticizes the hashing algorithms using Feistel Networkwhich are…
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2013
2013
Task-driven Greedy Learning of Feature Hashing Functions
Artem Sokolov
,
S. Riezler
2013
Corpus ID: 15685561
Randomly hashing multiple features into one aggregated feature is routinely used in largescale machine learning tasks to both…
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2011
2011
Gangsters, Pranksters, and the Invention of Trick-or-Treating, 1930-1960.
Samira Kawash
2011
Corpus ID: 141525993
For most children in North America, Halloween is one of the most exciting holidays of the year. But some critics insist that its…
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2010
2010
Real-time Visual Tracking Using Sparse Representation
Hanxi Li
,
Chunhua Shen
,
Javen Qinfeng Shi
Computer Vision and Pattern Recognition
2010
Corpus ID: 8908301
The $\ell_1$ tracker obtains robustness by seeking a sparse representation of the tracking object via $\ell_1$ norm minimization…
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2009
2009
Email-Spam Filtering with the Hashing-Trick
Josh Attenberg
,
Kilian Q. Weinberger
,
A. Dasgupta
,
Alex Smola
2009
Corpus ID: 722918
This paper delves into a recently proposed technique for collaborative spam filtering [7] that facilitates personalization with…
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