Markos Markou

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Novelty detection is the identification of new or unknown data or signal that a machine learning system is not aware of during training. Novelty detection is one of the fundamental requirements of a good classification or identification system since sometimes the test data contains information about objects that were not known at the time of training the(More)
We present a new framework for novelty detection. The framework evaluates neural networks as adaptive classifiers that are capable of novelty detection and retraining on the basis of newly discovered information. We apply our newly developed model to the application area of object recognition in video. We detail the tools and methods needed for novelty(More)
This paper proposes a new model of "novelty detection" for image sequence analysis using neural networks. This model uses the concept of artificially generated negative data to form closed decision boundaries using a multilayer perceptron. The neural network output is novelty filtered by thresholding the output of multiple networks (one per known class) to(More)
In this paper we investigate the role o/colour spaces on texture anolysis. We extract a range o/correlogram and colour moment features /or the VisTex colour texture benchmark in different colour spaces and find the averuge probabilistic distance o/ separation across diferent objects /or different f ea tum and suggest the colour spaces fhat are best(More)
It is now well-established that k nearest-neighbour classi"ers o!er a quick and reliable method of data classi"cation. In this paper we extend the basic de"nition of the standard k nearest-neighbour algorithm to include the ability to resolve con#icts when the highest number of nearest neighbours are found for more than one training class (model-1). We also(More)
Bile duct lesions, including leaks and strictures, are immanent complications of open or laparoscopic cholecystectomy (LC). Endoscopic procedures have gained increasing potential as the treatment of choice in the management of postoperative bile duct injuries. Bile duct injury (BDI) is a severe and potentially life-threatening complication of LC. Several(More)
One of the major issues in novelty detection for video and image analysis application is how to recognize objects that are not in full view. As the camera pans, tilts and zooms, image objects within a scene are never in full view and enter and exit image frames with time. These objects with partial view do not contain enough number of pixels that can(More)