In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used ...to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found.
Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for micro-expression recognition have used ...hand-crafted features like LBP-TOP, Gabor filter and optical flow. This paper is the first work to explore the possible use of deep learning for micro-expression recognition task. Due to the lack of data for micro-expression, training a CNN model from micro-expression data is not feasible. Instead, transfer learning from objects and facial expressions based CNN models are used. The aim is to use feature selection to remove the irrelevant deep features for our task. This work extends evolutionary algorithms to search an optimal set of deep features so that it does not overfit the training data and generalizes well for the test data. Promising results are presented for various micro-expression datasets.
Teach Me Fast Patel, Devangini; Ghosh, Debjyoti; Zhao, Shengdong
Proceedings of the Sixth International Symposium of Chinese CHI,
04/2018
Conference Proceeding
Online video-based learning is popular among the global student community. We investigate ways of leveraging Artificial Intelligence (AI) to reduce the video watching time without losing ...comprehension of the video content. Using an in-house designed video player prototype, we conducted an observation study to understand user behavior in adjusting the video playback rate. We present preliminary results from this study and discuss implications of our observations in designing potential AI-based solutions to semi-automatically adjust the video playing speed to reduce the watching time without affecting the users' comprehension.