Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Harald Ruda"'
Autor:
Todd C. Villines, Akos Varga-Szemes, U. Joseph Schoepf, Ziad A. Ali, Robert A. Pelberg, Kakuya Kitagawa, Matthew Phillips, Akshay Rajeev, Harald Ruda, Anna Nicolaou, Andrew Buckler
Publikováno v:
Journal of the American College of Cardiology. 81:1509
Autor:
Todd C. Villines, Ziad A. Ali, Kakuya Kitagawa, Robert A. Pelberg, Akos Varga-Szemes, U. Joseph Schoepf, Matthew Phillips, Akshay Rajeev, Harald Ruda, Anna Nicolaou, Andrew Buckler
Publikováno v:
Journal of the American College of Cardiology. 81:1344
Autor:
Todd C. Villines, Ziad A. Ali, Kakuya Kitagawa, Robert A. Pelberg, Akos Varga-Szemes, U. Joseph Schoepf, Patricia Rodriguez, Matthew Phillips, Akshay Rajeev, Harald Ruda, Anna Nicolaou, Andrew Buckler
Publikováno v:
Journal of the American College of Cardiology. 81:1424
Publikováno v:
Vision Research. 116:258-268
Scores of visual attention models have been developed over the past several decades of research. Differences in implementation, assumptions, and evaluations have made comparison of these models very difficult. Taxonomies have been constructed in an a
Publikováno v:
Journal of Vision. 16:668
Publikováno v:
SPIE Proceedings.
This paper describes the application of sequence learning to the domain of terrorist group actions. The goal is to make accurate predictions of future events based on learning from past history. The past history of the group is represented as a seque
Autor:
Harald Ruda, Magnus Snorrason
Publikováno v:
Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.
Neural networks based on adaptive resonance theory (ART) are capable of on-line learning. However, a limiting factor in on-line processing has been the need to preprocess input patterns so that features fall in the range [0.0, 1.0], typically done wi
Publikováno v:
ICASSP
This paper presents an automatic target recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmenta
Publikováno v:
Journal of Vision. 14:879-879