Results 31 to 40 of about 6,372,670 (283)
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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Supervising Unsupervised Learning
CoRR, 2017 We introduce a framework to leverage knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets. Our perspective avoids the subjectivity inherent in unsupervised learning by reducing it to supervised learning, and provides a principled way to evaluate unsupervised algorithms.
Vikas K. Garg 0001, Adam Kalai
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ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model.
Bogdan Alexe +5 more
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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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Statistical Models for Unsupervised Learning of Morphology and POS Tagging [PDF]
, 2011 This thesis concentrates on two fields in natural language processing. The main contribution of the thesis is in the field of morphology learning. Morphology is the study of how words are formed combining different language constituents (called morphemes)
Can, Burcu
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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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On The Philosophy of Unsupervised Learning
SSRN Electronic Journal, 2022 AbstractUnsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date. This stands in stark contrast to supervised and reinforcement learning algorithms, which have been widely ...
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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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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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