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Hierarchical temporal memory

Known as: CLA, Cortical Learning Algorithm, HTM 
Hierarchical temporal memory (HTM) is an unsupervised to semi-supervised online machine learning model developed by Jeff Hawkins and Dileep George of… 
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AlgorithmAnomaly detectionArtificial consciousnessArtificial general intelligence

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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Memristive Hierarchical Temporal Memory
This chapter covers the memristive HTM implementations on mixed-signal and analog hardware. Most of the implemented memristive… 
2017
2017
Hierarchical Temporal Memory on the Automata Processor
While modern machine learning has made significant strides toward achieving high aptitude in various cognitive tasks, it does not… 
2013
2013
Implementation of Hierarchical Temporal Memory on a Many-core Architecture
This thesis makes use of a many-core architecture developed by the Adapteva Company toimplement a parallel version of the… 
2012
2012
A bio-inspired olfactory model using hierarchical temporal memory
Artificial olfactory information recognition is a challenging task for signal processing and machine learning. In this paper we… 
2010
2010
Development of an HTM Network Training System for Recognition of Molding Parts
It is necessary to develop a system to judge inferiority of goods to minimize the loss at small factories in which produces… 
2009
2009
Using Hierarchical Temporal Memory for Recognition of Signed Polish Words
The paper is concerned with automatic vision-based recognition of hand gestures expressing isolated words of Polish Sign Language… 
2009
2009
Spoken Language Identification With Hierarchical Temporal Memories
The task of spoken language identification has enjoyed many promising approaches via machine learning and signal processing since… 
2009
2009
Evaluation of the Hierarchical Temporal Memory as Soft Computing Platform and its VLSI Architecture
A large number of real world applications, like user support systems, can still not be performed easily by conventional… 
2007
2007
VFA-driven hierarchical temporal memory input for object categorization
Results in visual psychology have shown that the location and statistics of nodes, endpoints and corners carry essential and… 
2006
2006
On Mining Moving Patterns for Object Tracking Sensor Networks
In this paper, we propose a heterogeneous tracking model, referred to as HTM, to efficiently mine object moving patterns and… 
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