Developing climate prediction model integration schemes which can provide realistic scenarios on long time scales with limited computing resources is the challenge of this research. One method to succeed in this task is to increase the integration timestep. We have tested several techniques which may prove useful. The most successful was applied to the shallow water equations over a spherical s...

We describe Fibres of Failure (FIFA), a method to classify failure modes of predictive processes using the MAPPER algorithm from Topological Data Analysis. Our method uses MAPPER to build a graph model of input data stratified by prediction error. Groupings found in high-error regions of the MAPPER model then provide distinct failure modes of the predictive process. We demonstrate FIFA on miscl...

In this paper, we present a novel algorithm that performs online histogram-based classification, i.e., specifically designed for the case when the data is dynamic and its distribution is non-stationary. Our method, called the Online Histogram-based Naı̈ve Bayes Classifier (OHNBC) involves a statistical classifier based on the well-established Bayesian theory, but which makes some assumptions wit...

Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are “reactive” in nature, that is, they update the histogram based on queries that have come to the system in the past for evaluation. In some applications, future occurrences of certain queries may be predicted and a “proactive” appr...

The process of dental defect analysis is to provide an efficient clinical support with less complexity in segmentation, better accuracy in foreground object detection and to provide local contrast and luminance invariant features using the various descriptors. The automatic decision support system includes adaptive threshold and support vector machine for dental disease prediction. The proposed...

A new reversible watermark scheme based on eight prediction modes is presented. In each of eight prediction modes, any modification to some pixels which account for one-fourth of all pixels is not allowed for a single embedding process. By employing smartly these unchanged pixels, each to-be-predicted pixel in any mode is guaranteed to be surrounded by several pixels which constitute a local ne...

The growth of medical image processing increases the demand of lossless compression and it became a topic of interest. The basic formatting H.264/AVC contains inefficiency in compression ratio it should be improved to give better compression ratio. The proposed method use the concept of lossless compression in H.264/AVC category using pixel-wise spatial interleave prediction (PWSIP) and context...

This paper deals with the proposition of a prognostic approach that enables to face up to the problem of lack of information and missing prior knowledge. Developments rely on the assumption that real data can be gathered from the system (online). The approach consists in three phases. An information theory-based criterion is first used to isolate the most useful observations with regards to the...