Showing 577–588 of 665 results
Seed Block Algorithm A Remote Smart Data Back-up Technique for Cloud. In cloud computing, data generated in electronic form are large in amount. To maintain this data efficiently, there is a necessity of data recovery services. To cater this, in this paper we propose a smart remote data backup algorithm, Seed Block Algorithm (SBA). The…
Segmentation of Intracranial Vessels and Aneurysmsin Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances Abstract? Segmentation of intensity varying and low-contrast structures is an extremely challenging and rewarding task. In computer-aided diagnosis of intracranial aneurysms, segmenting the high-intensity major vessels along with the attached low-contrast aneurysms is essential to the recognition of…
Segmentation of Underwater Images Using Different Techniques Abstract? Segmentation of Underwater Images Using Different Techniques. This paper presents a method for the automatic creation of 2D mosaics of the sea floor, using video sequences acquired at different altitudes above the sea floor. The benefit of using different altitude sequences comes from the fact that higher…
Self-Organized Public Key Cryptography in Mobile Ad Hoc Networks Abstract?Self-Organized Public Key Cryptography in Mobile Ad Hoc Networks Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″ title=”Our =Specialization=” last=”no”…
Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization Abstract?Conventional visual recognition systems usually train an image classifier in a bath mode with all training data provided in advance. However, in many practical applications, only a small amount of training samples are available in the beginning and many more would come sequentially during…
Semantic Features Selection and Representation for Facial Image Retrieval System Abstract? Most image retrieval methods are specialized for image based matching and retrieval based on low-level features. However, humans perceive facial images and compare their similarities using high-level features, such as the description and ranking of facial traits including gender, race, and age. In this…
Semantic security against web application attacks Abstract? Semantic security against web application attacks. Timeout mechanisms are a useful feature for web applications. However, these mechanisms need to be used with care because, if used as-is, they are vulnerable to timing attacks. This paper focuses on internal timing attacks, a particularly dangerous class of timing attacks,…
Semantic Web Service Discovery Using Natural Language Processing Techniques Abstract? the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery. Hence,…
Semantic Web service discovery using natural language processing techniques Abstract? With the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery.<...
Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Abstract? Extraction of map objects such roads, rivers and buildings from high resolution satellite imagery is an important task in many civilian and military applications. We present a semi-automatic approach for road detection that achieves high accuracy and efficiency. This…
Semi-Automatic Segmentation and Classification of Pap Smear Cells Abstract? Semi-Automatic Segmentation and Classification of Pap Smear Cells. Cytologic screening has been widely used for detecting the cervical cancers. In this study, a semiautomatic PC-based cellular image analysis system was developed for segmenting nuclear and cytoplasmic contours and for computing morphometric and textual features to train…
Semi-supervised Linear Discriminant Clustering Abstract? Semi-supervised Linear Discriminant Clustering. This paper devises a semi-supervised learning method called semi-supervised linear discriminant clustering (Semi-LDC). The proposed algorithm considers clustering and dimensionality reduction simultaneously by connecting K-means and linear discriminant analysis (LDA). The goal is to find a feature space where the K-means can perform well in the…
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