Contribution

1. … assess our contribution in relation to the vast literature on image-based 3D reconstruction, …
2. We empirically show that ...
3. Our many focus lies on ...
4. ... performance gains are credited to the very deep ....

Give Thanks

1. I would like to express my sincere thanks to Markus for his immense help in preparing of figures.
2. I am very grateful to Microsoft Research for providing a highly stimulating research environment and for giving me the time to write the book.
3. I would like to thank John for his support and professionalism, as well as Joseph for his help in designing the cover.
4. I wish to thank Oxford University Press for permission to reproduce excerpts from an earlier textbook.
5. The five authors would like to hold a few people in thanks for their significant contributions to this project.
6. The React community has been instrumental in helping us achieve this balance, with special thanks to ... from React team.

Express However

1. Nevertheless, the emphasis in this book is on converting the underlying concepts rather than on the mathematical rigor.
2. we all need this kind of license in our everyday thinking, or else we will spend all our time chasing false signals
3. Even theree-year-old toddlers understand the screening-off effect, though they donot have a name for it.

Express Indicate

1. The use of indefinite article some signals that ...
2. The absence of any article modifying the noun wood means that ...

Experience

1. In practical applications, the variability of the input vectors will be such that the training data can comprise only a tiny fraction of all possible input vectors, and so generalization is a central goal in pattern recognition.
2. Care must be taken during pre-processing because often information is discarded, and if the information is important to the solution of the problem then the overall accuracy of the system can suffer.
3. A clear understanding of them is essential if machine learning techniques are to be used to best effect in practical applications.
4. This noise might arise from intrinsically stochastic processes such radioactive decay but more typically is due to there being sources of variability that are themselves unobserved.
5. One technique that is often used to control the over-fitting phenomenon in such cases is that of regularization.
6. It deals in depth with selected grammar topics pose special problems for nonnative speakers.
7. We see that in effect the lambda controls the effective complexity of the model and hence determines the degree of over-fitting. The issue of model complexity is an important one and will be discussed at length in Section 1.3.
8. Exploring combinations of setting for such parameters, in the worst case, requires a number of training runs that is exponential in the number of parameters.
9. With the advent of ..., more emphasis is explicitly placed on sb to do sth.
10. Meta-learning has a long history, but has grown to prominence recently as many have advocated for it as a key to achieving human-level intelligence in the future.
11. … to strike a balance between noise removal and natural texture preservation …
12. These minor differences can be attributed to our modifications of some implementation details.

Express Sympathy

1. The taxi driver was pronounced dead at the scene. "We're very saddened with the passing of the driver. And we extend our condolence to his family."

Work Place

1. Studies led by the experimental psychologist Celia Heyes and here team while they were based at University College London have shown that ...

Responsibility

1. The idea that human beings generally know what they are doing, and therefore can be held responsible for what they have done.

Idea, Suggestion

1. This thought has long occupied psychiatrists ...
2. We posit that current video datasets are plagued with implicit biases over scene and object structure that can dwarf variations in temporal structure.
3. In what follows, we provide a brief description of ...
4. This has fueled research into xxx
5. In light of these findings, we also hope that future work ...
6. We hypothesize and corroborate experimentally that ...
7. It's better to nip the problem in the bud when we can.

In Order To

1. To mitigate the xxx problem, ...
2. xxx to eliminate xxx
3. xxx to alleviate xxx
4. xxx to elaborate xxx

Compare

1. In contrast to xxx,
2. Contrary to xxx

Evolution

1. xxx advances the frontier of xxx
2. Each of them has its own characteristic impact on xxx
3. The performance gain from using smaller patches comes at the expense of ....

Context

1. In the grand scheme of things, ....

Introduction

1. xxx has emerged as a leading approach for ...
2. xxx has seen widespread adoption in ...
3. xxx has seen a lot of attention over the past few years ...

Existing Problem

1. …, yet to our knowledge, xxx problem has not been characterized.
2. This stands in contrast to humans who can segment previously unseen xxx.
3. how to xxx stays to be an open question.

Acknowledges

1. xxx is partially supported by …
2. xxx’s participation is (partially) supported by …

Quantity

1. xxx also provides a plethora of diagnostic tools to analyze ...
2. A substantial body of methods have ...
3. This appetite for data has been successfully addressed by...

Major/Specialist/Skill

1. He holds a degree in xxxx from xxx University, with concentrations in Mathematics and Psychology.

Others

1. Without the loss of generality ...
2. Something has planted deep roots in xxx soil
3. Greek philosophers didn't seem to care about how we felt compared with how we acted
4. Positive feelings like to hang around virtuous actions.
5. Books on how optimism can be learned make millionaires out of their authors.
6. We try to work around some shortcomings like ...by ...
7. The current success of deep learning hinges on the ability to ...
8. Previous work does suggest one potential strategy for attaining rapid learning from sparse data.
9. ... can be viewed in term of ...
10. the baseline was clearly outperformed by ...
11. Our brains rely on predictive mechanisms that align our experience with our expectations. While such alignments are often useful, they can cause our experiences to depart from objective reality - reducing the clear-cut insight that supposedly ...
12. It doesn't fit into the 'natural is good' narrative.
13. By doing so, ...
14. To sum up, ...
15. we would certainly view the positive test with more alarm in a patient with a family history of the disease than in one with no such history.
16. A vanity of different approaches to meta-learning have been proposed, each with its own pros and cons, …
17. …, thus enforcing permutation invariance via sum-decomposition.
18. While deep features have revolutionized static image analysis, ...
19. Humans have no difficulty (in) recognizing them in whole or in part, ...
20. Such published artifacts represent thousands of works by researchers who are well-versed in the "black art" of wringing every last percent of accuracy out of a deep CNN.
21. We have a variety of methods at our disposal.