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This paper aims at a fuzzy relational approach to similar emotions expressed by different subjects by facial expressions and predefined parameters. Facial attributes represents a wide variety subjected to different circumstances. The fuzzification and mapping of facial features like eye-opening, mouth-opening and length of eye-brow constriction from localized areas is done into emotion space by employing...
We are interested in the problem of discourse parsing of textual documents. We present a novel end-to-end discourse parser that, given a plain text document in input, identifies the discourse relations in the text, assigns them a semantic label and detects discourse arguments spans. The parsing architecture is based on a cascade of decisions supported by Conditional Random Fields (CRF). We train and...
In this paper we propose a robust and fully automated lumbar herniation diagnosis system based on clinical MRI data which will not only aid a radiologist to make a decision with increased confidence, but will also reduce the time needed to analyze each case. Our method is based on three steps : 1) We automatically label the five lumbar intervertebral discs in a sagittal MRI slice using a probabilistic...
Partial discharge (PD) is one of the major contributors of the problem in high voltage electrical system. It can cause the insulation of a high voltage equipment to fail and lead to catastrophic incident. In a power transformer, detection of PD using acoustic emission technique has been gaining popularity due to its nonintrusive application and capability of locating PD sources. In this research work,...
Electrical systems throughout the world are experiencing problems with aging insulation. One of the major components, which degrade under stresses, is the paper insulation of a power transformer. In this research work, analysis of acoustic emission (AE) signal patterns due to the occurrence of partial discharge (PD) has been carried out. In order to characterize the different types of PD sources,...
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The algorithm is divided into four steps. First, moving objects are detected using an accurate hybrid scheme with selective Gaussian modeling. Simple object features balancing speed, reliability, and complexity are then extracted...
Ridgelines play a vital role in a modern fingerprint identification system. However, due to inherent limitations in a fingerprint acquisition device, detection of ridgelines from an acquired image becomes a challenging task.Hence, several methodologies have been suggested over the years to detect ridgelines in a gray-scale fingerprint image, most of which produce thick ridgelines requiring subsequent...
Automated Essay Grading (AEG) or scoring systems are not more a myth they are reality. These AI systems are blessings to the educational community where teachers normally face lots of problem while correcting studentspsila essays. Valuation of huge amount of student essays within stipulated time frame, with feed back is a real challenge. But today, the human written (not hand written) essays easily...
This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects can be extracted from the different set of images due to background availability, and transferred to the new composite image with no additional processing usually imposed by other fusion approaches. The background information...
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