A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method ...
This paper provides a generalization of non-reducible descriptors by extending the concept of distance between patterns of di erent classes. Generalized non-reducible descriptors ...
This paper deals with the roles of assumption, mathematical models, and experimental control in Pattern Recognition. In order to base the discussion on actual examples, three stud...
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compare...
We present a method for unsupervised boundary classijication by producing and analyzing intensity profiles. Each profile is created by sampling an ellipsoidal neighborhood of voxe...
Tomographic reflection is a method that may be used to merge the visual outer surface of a patient with a simultaneous ultrasound scan of the patient’s interior. The technique c...
George D. Stetten, Vikram S. Chib, Robert J. Tambu...
Recently, airborne video surveillance platforms have gained greater acceptance for use in a variety of DoD missions due to their utility, affordability and autonomy. While a varie...
Richard W. Cannata, Steven G. Blask, John A. Van W...
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...