Acceleration of Linear Classifiers

摘要

In one embodiment, image detection is improved or accelerated using an approximate range query to classify images. A controller is trained on a set of training feature vectors. The training feature vectors represent an image. The feature vectors are normalized to a uniform length. The controller defines a matching space that includes the set of training feature vectors. The controller is configured to identify whether an input vector for a tested image falls within the matching space based on a range query. When the input vector falls within the matching space, the tested image substantially matches the portion of the image used to train the controller.

主权项

1. A method comprising:
receiving a plurality of training feature vectors indicative of an image; normalizing the plurality of training feature vectors to a uniform length; and defining a matching space including the plurality of training feature vectors, wherein the matching space determines whether an input image feature vector is a match; and storing the matching space.