Supermarket Control System Abstract-This supermarket management system has realized the transmission and control of large goods, so as to facilitate the management and decision of sales, and reduce a big burden for supermarkets and supermarket managers. It also can help to improve the work efficiency of supermarket. The basic idea involved here is that each…
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening Abstract? Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Optic nerve head…
Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera Abstract? Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera. A new superpixel-based hand gesture recognition system based on a novel superpixel earth mover?s distance metric, together with Kinect depth camera. The depth and skeleton information from Kinect are effectively utilized to produce markerless hand extractio n. The…
iShuffle: Improving Hadoop Performance with Shuffle-on-Write Abstract– Using online consumer reviews as electronic word of mouth to assist purchase-decision making has become increasingly popular. The Web provides an extensive source of consumer reviews, but one can hardly read all reviews to obtain a fair evaluation of a product or service. A text processing framework that…
A Framework for Supervised Classification Performance Analysis with Information-Theoretic Methods Abstract-?We introduce a framework for the evaluation of multiclass classifiers by exploring their confusion matrices. Instead of using error-counting measures of performance, we concentrate in quantifying the information transfer from true to estimated labels using information-theoretic measures. First, the Entropy Triangle allows us to visualize…
Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition Abstract? Supervised manifold learning has been successfully applied to action recognition, in which class label information could improve the recognition performance. However, the learned manifold may not be able to well preserve both the local structure and global constraint of temporal labels in action sequences.< Final…
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation Abstract? Automated and general medical image segmentation can be challenging because the foreground and the background may have complicated and overlapping density distributions in medical imaging. Conventional region-based level set algorithms often assume piecewise constant or piecewise smooth for segments, which are…
Supervisory Host Model: A New Paradigm to Enhance the Security and Power Management for Mobile Grid Environment Abstract? Supervisory Host Model: A New Paradigm to Enhance the Security and Power Management for Mobile Grid Environment. Digital certificates and signatures provide protection in legally binding situations. Even though the digital certificates are used in banking and…
Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings Abstract? Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video…
Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series Abstract? Supporting decision making in domains in which the observed phenomenon dynamics have to be dealt with, can greatly benefit of retrieval of past cases, provided that proper representation and retrieval techniques are implemented. In particular,< Final Year Project > when the parameters of interest…
Supporting multi data stores applications in cloud environments Abstract? The production of huge amount of data and the emergence of cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, documents, graph data…
Supporting Multi Data Stores Applications in Cloud Environments Abstract?Abstract The production of huge amount of data and the emergence of cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, documents, graph data…