Results 31 to 40 of about 137,057 (303)
Breast Image Classification Based on Multi-feature Joint Supervised Dictionary Learning [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that the unsupervised dictionary learning algorithm has low image classification accuracy,a supervised dictionary learning classification algorithm which combines with multiple image features is proposed.It uses the convolution ...
LIU Lihui,XU Jun,GONG Lei
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Memristor Neural Network Training with Clock Synchronous Neuromorphic System
Micromachines, 2019 Memristor devices are considered to have the potential to implement unsupervised learning, especially spike timing-dependent plasticity (STDP), in the field of neuromorphic hardware research.
Sumin Jo +5 more
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Unsupervised learning in neuromemristive systems [PDF]
2015 National Aerospace and Electronics Conference (NAECON), 2015 Neuromemristive systems (NMSs) currently represent the most promising platform to achieve energy efficient neuro-inspired computation. However, since the research field is less than a decade old, there are still countless algorithms and design paradigms to be explored within these systems.
Cory E. Merkel, Dhireesha Kudithipudi
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Priors in Bayesian Learning of Phonological Rules [PDF]
, 2004 This paper describes a Bayesian procedure for unsupervised learning of phonological rules from an unlabeled corpus of training data. Like Goldsmith's Linguistica program (Goldsmith, 2004b), whose output is taken as the starting point of this procedure ...
Johnson, Mark +3 more
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Unsupervised spectral learning
CoRR, 2012 In spectral clustering and spectral image segmentation, the data is partioned starting from a given matrix of pairwise similarities S. the matrix S is constructed by hand, or learned on a separate training set. In this paper we show how to achieve spectral clustering in unsupervised mode.
Susan M. Shortreed, Marina Meila
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Unsupervised Learning for Graph Matching [PDF]
International Journal of Computer Vision, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marius Leordeanu +2 more
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Unsupervised online multitask learning of behavioral sentence embeddings [PDF]
PeerJ Computer Science, 2019 Appropriate embedding transformation of sentences can aid in downstream tasks such as NLP and emotion and behavior analysis. Such efforts evolved from word vectors which were trained in an unsupervised manner using large-scale corpora.
Shao-Yen Tseng +2 more
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IEEE Access, 2022 Unsupervised learning of feature representations is a challenging yet important problem for analyzing a large collection of multimedia data that do not have semantic labels.
Takahiko Furuya, Ryutarou Ohbuchi
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TopoART: A Topology Learning Hierarchical ART Network [PDF]
, 2010 Tscherepanow M. TopoART: A Topology Learning Hierarchical ART Network. In: Diamantaras K, Duch W, Iliadis LS, eds. Artificial Neural Networks (ICANN 2010). Lecture Notes in Computer Science, 6354.
Iliadis, Lazaros S. +4 more
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TUMK-ELM: A Fast Unsupervised Heterogeneous Data Learning Approach
IEEE Access, 2018 Advanced unsupervised learning techniques are an emerging challenge in the big data era due to the increasing requirements of extracting knowledge from a large amount of unlabeled heterogeneous data.
Lingyun Xiang +4 more
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