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In-memory distributed matrix computation processing & optimization
(
IEEE Computer Society
, 2017 , Conference Paper)
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on ...
HDBExpDetector: Aggregate sudden-change detector over dynamic web databases
(
IEEE Computer Society
, 2017 , Conference Paper)
We propose to demonstrate HDBExpDetector, a system for analysts to discover bursty events from a thirdparty web database by using nothing but the existing search interface of the web database to monitor and detect sudden ...
Random sampling for patch-based face recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Real face recognition is a challenging problem especially when face images are subject to distortions. This paper presents an approach to tackle partial occlusion distortions present in real face recognition using a single ...
Measuring and optimising performance of an offline text writer identification system in terms of dimensionality reduction techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Usually, most of the data generated in real-world such as images, speech signals, or fMRI scans has a high dimensionality. Therefore, dimensionality reduction techniques can be used to reduce the number of variables in ...
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ...
A review of security challenges, attacks and resolutions for wireless medical devices
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Evolution of implantable medical devices for human beings has provided a radical new way for treating chronic diseases such as diabetes, cardiac arrhythmia, cochlear, gastric diseases etc. Implantable medical devices have ...
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Cloud computing has been widely adopted by application service providers (ASPs) and enterprises to reduce both capital expenditures (CAPEX) and operational expenditures (OPEX). Applications and services previously running ...
A review on Radio Frequency Identification methods
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Radio frequency identification (RFID), the process of identifying objects within a predefined protocol definition technologies serves its primary application for tracking objects. The three main approaches followed are ...
Multi-objective scheduling of micro-services for optimal service function chains
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Lately application service providers (ASPs) and Internet service providers (ISPs) are being confronted with the unprecedented challenge of accommodating increasing service and traffic demands from their geographically ...
Building a multispectral image dataset for colorectal tumor biopsy
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Automated grading of tumor cells proves to be a great way of enhancing the rapidity and accuracy of cancer diagnostic procedures. The application of image processing and machine learning techniques on the digitized biopsy ...