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== Approach == ...ntation operations using AutoAugment. A chain is created like shown in the figure above ...

The paper presents a novel approach to generating a scene graph. A scene graph, as it relates to an image, is a Reference Figure from the paper "Associative embedding: End-to-end learning for joint detect ...

...eloped a number of methods for feature engineering. A simple but effective approach for text classification is the bag-of-words model. That is to represent doc The figure below is the architecture in a word-context view. ...

...zero, which cancels out the effects of a particular neuron. Therefore, the approach does not need to learn a redundant network successfully and then reduce its ...odel, and has no recognition accuracy loss at the same time. Actually, our approach even yields more effective and faster networks and occupies less memory. ...

...labels), the robustness of deep learning models trained by the co-teaching approach is much superior to state-of-the-art baselines ...ne work proposes an unbiased estimator to provide the noise corrected loss approach. Another work presented a robust non-convex loss, which is the special case ...

...View Images and a dual pathway agent architecture is designed. As shown in figure 1, some parts of the environment are built using Google StreetView images o ...gure 1. Our environment is built of real-world places from StreetView. The figure shows diverse views and corresponding local maps (neither map nor current p ...

...the art style to another image. The process is described in the following figure. [[File:style_transfer.jpg|600px|center|thumb|Figure: the process of neural style transfer]] ...

Specifically, an unsupervised approach where the labels <math>y_i</math> are not provided to us is considered, whe [[File:c433li-2.png|650px|center]] ...

The following figure taken from the paper summarizes the system of models described in the previ ...aining algorithm for the CoGAN that was used is described in the following figure. ...

...establish a correspondence function between images and text features. This approach is not new, the authors rely on the previous work of Reed et al. (2016) to [[File:keypt 2.PNG]] ...

...erative model is created that can generate detailed annotations as seen in Figure 1. ...ng space to a carefully constructed objective function. Validation of this approach is conducted on image-sentence retrieval tasks. ...

...imation doesn't work very well with dimension greater than 2. However this approach is the simplest and we can assume a parametric model for the densities. ...ate Analysis and Quadratic Discriminate Analysis are examples of the third approach, density estimation. ...

The figure below demonstrates an example of PCA. Data is transformed from original 3D Image:PCA 2.png|Extraction of the principal components ...

Typically, the Bayes classifier uses approach 3 to define its classification rule. These three approaches can easily be g ...number of trials for an event approaches infinity, one could theoretically approach the intrinsic value of the event's probability of occurrence to any arbitra ...

In this part, I learned how to use R code to figure out the relationship between two integers >>figure ...