Software systems are typically modified in order to extend or change their functionality, improve their performance, port them to different platforms, and so on. For developers, i...
Spiros Mancoridis, Brian S. Mitchell, Yih-Farn Che...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...