Traditional statistical method cannot deal with feature vectors with so high dimensions efficiently, but SVM (Supported vector Machine) could resolve this problem.
Both analysis and experiments show that the recognition time is proportional to the square of the length of the feature vector, if dynamic time warping (DTW) algorithm is employed in recognition.
In this article, the genetic algorithm optimizes a feature vector by removing both irrelevant and redundant features and finds optimal ones.
In machine learning, the data is often represented as a vector, sometimes called a feature vector.
A more stable feature vector with more information is extracted.
Novel method of target recognition based on changeless rules and image feature vector
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
