In this section, we will enumerate a few major application areas and their success stories.
In the area of computer vision, image recognition/object recognition refers to the task of using an image or a patch of an image as input and predicting what the image or patch contains. For example, an image can be labeled dog, cat, house, bicycle, and so on. In the past, researchers were stuck at how to design good features to tackle challenging problems such as scale-invariant, orientation invariant, and so on. Some of the well-known feature descriptors are Haar-like, Histogram of Oriented Gradient (HOG), Scale-Invariant Feature Transform (SIFT), and Speeded-Up Robust Feature (SURF). While human designed features are good at certain ...
