OBJECTIVE To determine the relationship of bone marrow lesions (BMLs) with phenomena such as clinical symptoms, histological subchondral bone damage, and development of osteoarthritis, a reliable and reproducible method to localize and quantify BMLs accurately is indispensable. Therefore, the goal of the current study was to develop and validate a novel semiautomated segmentation method based o...

Feature means countenance, remote sensing scene objects with similar characteristics, associated to interesting scene elements in the image formation process. They are classified into three types in image processing, that is low, middle and high. Low level features are color, texture and middle level feature is shape and high level feature is semantic gap of objects. An image retrieval system i...

To improve the class separability of Fisher linear discriminant analysis (FDA) for large category problems, we investigate the weighted Fisher criterion (WFC) by integrating weighting functions for dimensionality reduction. The objective of WFC is to maximize the sum of weighted distances of all class pairs. By setting larger weights for the most confusable classes, WFC can improve the class se...

In real world problems, imbalance of data samples poses major challenge for the classification problems as a particular class are dominating. Problems like fault and disease detection involve hence need attention to avoid bias towards class. The models support vector machines (SVM) get biased majority results in misclassification minority samples. SVM suffers no prior information related is inv...

Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective classification model in decades. However, its performance in ranking is unknown. In this paper, we conduct a systematic study on the ranking performance of KNN. At first, we compare KNN and KNNDW (KNN with distance weig...

Condition monitoring systems for prognostics and diagnostics can enable large and complex systems to be operated more safely, at a lower cost and have a longer lifetime than is possible without them. AURA Alert is a condition monitoring system that uses a fast approximate k Nearest Neighbour (kNN) search of a timeseries database containing known system states to identify anomalous system behavi...

* U. Johansson and R. König are equal contributors to this paper. Abstract Standard kNN suffers from two major deficiencies, both related to the parameter k. First of all, it is well-known that the parameter value k is not only extremely important for the performance, but also very hard to estimate beforehand. In addition, the fact that k is a global constant, totally independent of the particu...

Objective: The main aim of this research is to reduce the dimension of the epileptic Electroencephalography (EEG) signals and then classify it using various post classifiers. For the evaluation and easy treatment of neurological diseases, EEG signals are used. The reflection of the electrical activities of the human brain is obtained by the measurement of potentials in EEG. To study and explore...

We propose a variant of the k-nearest neighbor classification method, called instance-weighted k-nearest neighbor method, for adaptive spam filtering. The method assigns two weights, distance weight and correctness weight, to a training instance, and makes use of the two weights when classifying a new email. The correctness weight is also used in the maintenance of the training data to make the...