Showing 61–72 of 776 results
A Similarity-Based Learning Algorithm Using Distance Transformation Abstract? Numerous theories and algorithms have been developed to solve vectorial data learning problems by searching for the hypothesis that best ?ts the observed training sample. However, many real-world applications involve samples that are not described as feature vectors, but as (dis)similarity data. Converting vectorial data into <...
A Space-Bounded Anytime Algorithm for the Multiple Longest Common Subsequence Problem Abstract?A Space-Bounded Anytime Algorithm for the Multiple Longest Common Subsequence Problem. The multiple longest common subsequence (MLCS) problem, related to the identification of sequence similarity, is an important problem in many fields. As an NP-hard problem, its exact algorithms have difficulty in handling large-scale…
A Survey of Automatic Query Expansion in Information Retrieval Abstract-The relative ineffectiveness of information retrieval systems is largely caused by the inaccuracy with which a query formed by a few keywords models the actual user information need. One well known method to overcome this limitation is automatic query expansion (AQE), whereby the user?s original query…
A Survey of Vision-Based Traffic Monitoring of Road Intersections Abstract? Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the past decade, an active research topic in computer vision and intelligent transportation systems communities. In the context of traffic monitoring, important advances have been achieved in environment modeling, vehicle detection, tracking,…
A Survey on Taxonomy learning using Graph-based Approach Abstract-Taxonomy learning is an important task for developing successful applications as well as knowledge obtaining, sharing and classification. The manual construction of the domain taxonomies is a time-consuming task. To reduce the time and human effort will build a new taxonomy learning approach named as TaxoFinder. TaxoFinder…
A Survey on Trajectory Data Mining: Techniques and Applications Abstract? Rapid advance of location acquisition technologies boosts the generation of trajectory data, which track the traces of moving objects. A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of applications can bene t from the trajectory data mining. Bringing unprecedented…
A System to Filter Unwanted Messages from OSN User Walls Abstract? One fundamental issue in today’s Online Social Networks (OSNs) is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. Up to now, OSNs provide little support to this requirement. < Final...
A Systematic Review on Educational Data Mining Abstract? Presently educational institutions compile and store huge volumes of data such as student enrolment and attendance records, as well as their examination results. Mining such data yields stimulating information that serves its handlers well. Rapid growth in educational data points to the fact that distilling massive amounts…
A T o p – r Feature Selection Algorithm for Microarray Gene Expression Data Abstract?Feature selection from microarray data has become an ever evolving area of research. Numerous techniques have widely been applied for extraction of genes which are expressed differentially in microarray data. Some of these comprise of studies related to fold-change approach, <...
A Trajectory Privacy-Preserving Framework for Participatory Sensing. The ubiquity of the various cheap embedded sensors on mobile devices, for example cameras, microphones, accelerometers, and so on, is enabling the emergence of participatory sensing applications. While participatory sensing can benefit the individuals and communities greatly, the collection and analysis of the participators’ location and trajectory data…
A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks Abstract? A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks. Knowledge discovery from scientific articles has received increasing attention recently since huge repositories are made available by the development of the Internet and digital databases. In a corpus of scientific articles such as a…
A Unifying Model and Analysis of P2P VoD Replication and Scheduling Abstract?We consider a peer-to-peer (P2P)-assisted video-on-demand (VoD) system where each peer can store a relatively small number of movies to offload the server when these movies are requested. User requests are stochastic based on some movie popularity distribution. The problem is how to replicate…
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Low-Power and Fast Full Adder by Exploring New XOR and XNOR Gates 
Event-to-Sink Spectrum-Aware Clustering in Mobile Cognitive Radio Sensor Networks