Sequence Modeling: Recurrent and Recursive Nets

a recurrent neural network is a neural network that is specialized fro processing a sequence of values . Just as convolutional networks can readily scale to images with large width and height, and some convolutional networks can readily sale to images with large width an height, and some convolutional networks can process images of variable … Continue reading Sequence Modeling: Recurrent and Recursive Nets

Autonomous Driving: Modeling and Learning Behaviors

Motion planning for dynamic environments is clearly one of the main problems that needs to be solved for effective autonomous navigation. As shown by Ref and Sharir, the general problem is NP-Hard, which explains the continued efforts to find algorithms to cope with that complexity. A much more overlooked but equally critical aspect of the … Continue reading Autonomous Driving: Modeling and Learning Behaviors

Mastering CMake — Key Concepts

Key Concepts Main Structures This chapter provides an introduction not CMake's key concepts. As you start working with CMake, you. Will run into a variety of concepts such as targets, generators, and commands. In CMake, these concepts are implemented as C++ classes and are referenced in many of CMake's commands. Understanding these concepts will provide … Continue reading Mastering CMake — Key Concepts

Autonomous Driving: Context and the State-of-the-Art

In this section the state-of-the-art in Intelligent Vehicles will be presented from a vehicle navigation perspective as these achieve autonomous navigation capabilities. The section is structured as follows: Motivation: The motivation to this ongoing transformation of modern vehicles are presented in terms of usage, safety and external factors such as fossil-fuel constraints, pollution. Vehicle navigation … Continue reading Autonomous Driving: Context and the State-of-the-Art

Creational Patterns

Creational design patterns abstract the instantiation process. They help make a system independent of how its objects are created, composed, and represented. A class creational pattern uses inheritance to vary the class that’s instantiated, whereas an object creational pattern will delegate instantiation to another object. Creational patterns become important as systems evolve to depend more … Continue reading Creational Patterns

A case study: Designing a Document Editor

This chapter presents a case study in the design of a “What-You-See-Is-What-You-Get” (or “WYSIWYG”) document editor called Lexi.[1] We’ll see how design patterns capture solutions to design problems in Lexi and applications like it. By the end of this chapter you will have gained experience with eight patterns, learning them by example. Design Problems Document … Continue reading A case study: Designing a Document Editor

Effective Python (26) — Use multiple inheritance only for mix-in utility classes

Python is an object-oriented language with built-in facilities for making multiple inheritance tractable. However, it's better to avoid multiple inheritance altogether. If you find you yourself desiring the convenience and encapsulation that comes with multiple inheritance, considering writing a mix-in instead. A mix-in is a small class that only defines a set of additional methods … Continue reading Effective Python (26) — Use multiple inheritance only for mix-in utility classes

The Origin of Best Practices

Hacking According to Richard Stallman, hackers have love of excellence and programming in common. The enjoy the creative challenging to overcome technical limitations and achieve things not thought possible before. People who are good at hacking are indispensable in todays technology-driven society. Hacking is a key skill, and we need people who are good at … Continue reading The Origin of Best Practices

Introduction to Algorithms — Red-Black Tree

1. Properties of red-black trees A red-black tree is a binary search tree with one extra bit of storage per node: its color, which can either RED or BLACK. By constraining the node colors on any simple path from the root to a leaf, red-black trees ensure that no such path is more than twice … Continue reading Introduction to Algorithms — Red-Black Tree

Introduction-to-algorithms — dynamic programmimng

Dynamic programming typically applies to optimization problems in which we make a set of choices in order to arrive at an optimal solution. As we make each choice, subproblems of the same form often arise. Dynamic programming is effective when a given subproblem may arise form more than one partial set of choices. The key … Continue reading Introduction-to-algorithms — dynamic programmimng