This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
We present an experimental comparison of the performance of representative saliency detectors from three guiding principles for the detection of salient image locations: locations...
A major drawback of the Orthogonal Frequency Division Multiplex (OFDM) principle is the high dynamic range of the transmit signal. The transmit Power Amplifier (PA) and other ele...
Andreas Frotzscher, Peter Zillmann, Gerhard Fettwe...
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...