Latent space
Latent Space Representations of Hypergraphs
... the latent coordinates in a latent position are generated according to a Poisson process, and show that this is able express graphs with various levels of ...the latent coordinates are distributed ...
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Semi supervised Text Style Transfer: Cross Projection in Latent Space
... in latent space (CPLS) to leverage the large volumes of nonparallel data as well as the limited parallel ...the latent space, and pro- pose to establish projection relations between dif- ...
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ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
... the space using categorical vari- ables could solve the problem ...in latent space has been traditionally viewed to be a pre-requisite for the objective of good ...
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Latent Space Embedding for Retrieval in Question Answer Archives
... that has received much recent attention, is about addressing this opportunity. CQA retrieval meth- ods focus on finding historical archived knowl- edge (questions, answers or QA pairs) that are rel- evant to a newly ...
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Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks
... Many of the state of the art sentiment analysis sys- tems uses input features based on sentiment word lists (Mohammad et al., 2013). While such lists may be manually curated, automatic approaches are priv- ileged if ...
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Improving Distantly supervised Entity Typing with Compact Latent Space Clustering
... Compact Latent Space Clustering (CLSC) to bypass this problem and effectively utilize noisy data ...embedding space, thus lead- ing to better classification ...
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Modeling heterogeneity in random graphs through latent space models: a selective review*
... some latent space, ...any latent space model, likelihood may not be computed exactly except for small sample sizes, as it requires summing over the set of possible latent configurations ...
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Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
... TR latent space, we propose a novel tensor comple- tion method which is robust to model ...data space, we in- troduce nuclear norm regularization on the latent TR factors, resulting in the ...
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Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
... the merits of both general-adversarial modeling [Goodfellow et al., 2014, Radford et al., 2016] and volumetric convolutional networks [Maturana and Scherer, 2015, Wu et al., 2015]. Different from traditional heuristic ...
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Latent Space Classification of Seismic Facies
... 108 The well locations are given in Figure 5.16. Microseismic events from Well A and a suite of Wells B (B1, B2, B3, and B4) are discussed in this study (Figures 5.13 and 5.14). Well-probes are created by cross plotting ...
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Modeling Sentences in the Latent Space
... and Inkpen, 2008) or hybrid (Mihalcea et al., 2006). Almost all of them are evaluated on LI06 data set. It is interesting to see that most works find word sim- ilarity measures, especially knowledge based ones, to be the ...
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Video Synthesis from the StyleGAN Latent Space
... GANs latent space. I chose the StyleGAN latent space due to its success in upscaling the image resolution, however, this method can be used in any image GANs latent ...image ...
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Latent Space Autoregression for Novelty Detection
... of latent vectors by maximum likelihood ...in latent space, leads to the minimization of the encoder’s differential entropy, which proves to be a suitable regularizer for the task at ...
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Quantifying local creation and regional transport using a hierarchical space-time model of ozone as a function of observed NOx, a latent space-time VOC process, emissions, and meteorology
... turn out that the intercept was not significant in that dataset, which has a factor of 7 fewer observations than the N=11k dataset. Since we fit a no-intercept model to the N=11k dataset with the same care that we ...
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Latent Space Inference of Internet-Scale Networks
... As with other mixed-membership models, computing the true posterior of the latent vari- ables p(s, θ, B | E, α, λ) under the STM is intractable, and approximate inference must be employed. There are three common ...
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Near synonym Lexical Choice in Latent Semantic Space
... the latent space, their contribution to the output of distance function is larger in paragraph LoC models because the vectors are much denser than that in the sentence LoC model; since the unsuper- vised ...
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Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
... We propose a novel geometric approach for learning bilingual mappings given monolin- gual embeddings and a bilingual dictionary. Our approach decouples the source-to-target language transformation into (a) language- ...
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Latent Constrained Correlation Filter
... named latent constrained correlation filters (LCCF), by mapping the correlation filters to a given latent subspace, and develop a new learning framework in the latent subspace that embeds ...
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Space Law Space Communication Space Engineering Remote Sensing Space Science Space Education
... 112 the LNO, this observatory should be uplifted to become a Center of Excellence (CoE) for astronomy R&D. As a CoE on astronomy R&D, the program at LNO should cover science and R&D, technology and skills to ...
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The Transcriptome of Latent Human Cytomegalovirus
... Overall, our analysis emphasizes an undeniable surprising similarity between latent and late lytic transcriptional programs in the two studies. These results, together with results from natural samples, challenge ...
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