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Features learned with the importance sampler

The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator

The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator

... First, if liquid cloud fraction is small at the starting grid level, then SILHS contains the option to sam- ple preferentially within an important region, namely cloud containing some liquid (Räisänen and Barker, 2004); ...

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Learned features versus engineered features for semantic video indexing

Learned features versus engineered features for semantic video indexing

... with features produced by DCNNs), Razavian et ...semantic features can be successfully used both for categorization tasks and for retrieval ...engineered features for the first layers, to fully ...

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Fusing dynamic deep learned features and handcrafted features for facial expression recognition

Fusing dynamic deep learned features and handcrafted features for facial expression recognition

... deep features with handcrafted features, ...deep features and handcrafted ...deep features from static images, thus neglecting the dynamic information in facial ...convolutional ...

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The importance of nonlinearity in reproducing business cycle features

The importance of nonlinearity in reproducing business cycle features

... 4.5% per quarter. Expansion phases can also usefully be divided between the Recovery and Mature Expansion phase, with the average growth rates in the Recovery phase nearly 50% larger than in the Mature Expansion phase. ...

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CiteSeerX — The Importance of Rapid Cultural Convergence in the Evolution of Learned Symbolic Communication

CiteSeerX — The Importance of Rapid Cultural Convergence in the Evolution of Learned Symbolic Communication

... 4 Speeding up cultural convergence The simulation results outlined above suggest that if it were possible to speed up the construction process then agents with constructor weight-update rules would receive a tness payo ...

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Understanding Learned Models by Identifying Important Features at the Right Resolution

Understanding Learned Models by Identifying Important Features at the Right Resolution

... of features that are used as input to the model, which we refer to as base ...the importance of base features may not be the right level of resolution for gaining a thorough understanding of a ...

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An assessment of learned score features for modeling expressive dynamics in music

An assessment of learned score features for modeling expressive dynamics in music

... PCA features depend linearly on the inputs, whereas the RBM based features involve the non-linear sigmoid function (see subsection III-D), which potentially increases the flexibility and robustness of the ...

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The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid

The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid

... The feedback system with features for pro- nunciation scoring, speech replay, and giv- ing a pronunciation example was deemed essential by most of the respondents. In contrast, a clear dichotomy between the ...

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Combining textual and non-textual features for importance estimation

Combining textual and non-textual features for importance estimation

... In this paper we focus on assessing the likeliness that a receiver will reply to a message. We believe that replying to a message is a good indicator that a user finds this message important, otherwise he would have ...

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Bridging Science and Practice Importance of Stakeholders in the Development of Decision Support: Lessons Learned

Bridging Science and Practice Importance of Stakeholders in the Development of Decision Support: Lessons Learned

... lesson learned during the development of the above case studies was that for stakeholders, a case study is very different from what most academics perceive it to ...

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Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation.

Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation.

... of features were used to explore the role of features in segmentation: 1) scale-space di ff erential invariants, 2) deep representations extracted by ...

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Bayesian polytrees with learned deep features for multi-class cell segmentation

Bayesian polytrees with learned deep features for multi-class cell segmentation

... model features and parameters, it can outperform SegNet, even though the latter is trained on a much larger training set (16 ...of features were used reveals the key role of features in the ...

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Video tampering localisation using features learned from authentic content.

Video tampering localisation using features learned from authentic content.

... QP relates directly to Q s in Eq. 1. Patches with similar QP labels exhibit similar compression features, and confusion matrices produced by the network reflected this. Different QPs might have very similar ...

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The Louvre: All the Paintings Sampler

The Louvre: All the Paintings Sampler

... the importance of art to all the different areas of life, and the dancing Muses symbolize the love of life and creation that animates the various ...background features gentle forms and gradations of tone ...

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Subsurface sampler

Subsurface sampler

... Subsurface sampler Abstract A subsurface sampler including a cylindrical casing with portholes to provide access below ground to sample potentially hazardous substances without contaminating investigative ...

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Insectissimo Sampler

Insectissimo Sampler

... The monstrous letter A-always the first in the order of things- Lumbered about mightily like Godzilla or King Kong, Cars crushed underneath like cheap Taiwanese plastic toys, Pursuing s[r] ...

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Wine Sampler

Wine Sampler

... The lab manager told me that there were many tanks outside, most of which were not in range of wifi access, but employees passed them on their way to collect samples.. I asked if an em[r] ...

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MM Sampler

MM Sampler

... motives may be developed using only five-note major, minor and diminished scales and how to apply chromatic embellishment to those scales.. The “magic” appears when you discover that any[r] ...

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Overview and Sampler

Overview and Sampler

... Families need to understand basic information about co-occurring disorders, including the nature of addiction, the symptoms of the psychiatric illness, how a diagnosis is established, h[r] ...

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A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler

A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler

... SMC Sampler, including an optimised implementation of the bottleneck, and then compare it with single-core ...SMC Sampler with 512 cores is up to 85 times faster or up to 8 times more accurate than ...

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