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Breast cancer is one from various diseases that has got great attention in the last decades. This due to the number of women who died because of this disease. Segmentation is always an important step in developing a CAD system. This paper proposed an automatic segmentation method for the Region of Interest (ROI) from breast thermograms. This method is based on the data acquisition protocol parameter...
Iris recognition is gaining more attention and the development of the field is increasing rapidly. This paper presents a complete iris recognition system. The iris features are obtained using Speeded Up Robust Features (SURF) after enhancing the image using Contrast Limited Adaptive Histogram Equalization (CLAHE). A novel matching algorithm based on applying fusion rules at different levels is proposed...
It has been argued in recent work that correlation filters are attractive for human action recognition from videos. Motivation for their employment in this classification task lies in their ability to: (i) specify where the filter should peak in contrast to all other shifts in space and time, (ii) have some degree of tolerance to noise and intra-class variation (allowing learning from multiple examples),...
Feature subset selection is a very vast field and it plays a vital role in the modern age because of extremely large datasets with huge number of irrelevant features. In past people have been using several approaches to find subset of features that is most relevant and appropriate. As we explore different techniques we come to know that Genetic Algorithms prove to be exceptionally good in large searches...
We investigate claims and assumptions made in several recent papers about fault localization (FL) techniques. Most of these claims have to do with evaluating FL accuracy. Our investigation centers on a new subject program having properties useful for FL experiments. We find that Tarantula (Jones et al.) works well on the program, and we show weak support for the assertion that coverage-based test...
Wireless sensor networking (WSN) and modern machine learning techniques have encouraged interest in the development of vehicle monitoring systems that ensure safe and secure operations of the rail vehicle. To make an energy-efficient WSN application, power consumption due to raw data collection and pre-processing needs to be kept to a minimum level. In this paper, an energy-efficient data acquisition...
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