Now showing items 1-6 of 6
VERIFYING SOFTWARE CODE VULNERABILITIES USING MACHINE LEARNING AND CLASSIFICATION TECHNIQUES
Software assurance analysts deal with thousands of potential vulnerabilities many of which are false positives during the process of static code analysis. Manual review of all such potential vulnerabilities is tedious, ...
Subpixel approaches to multispectral and hyperspectral image classification and application
One of major advantages of hyperspectral image processing is subpixel detection that can be used to detect targets at subpixel scale (i.e., subtarget) which cannot be visualized by human eye inspection. This dissertation ...
Using Text to Improve Classification of Man-Made Objects
People identify man-made objects by their visual appearance and the text on them e.g., does a bottle say water or shampoo? We use text as an important visual cue to help distinguish between similar looking objects. This ...
A Scalable and Low Power Deep Convolutional Neural Network for Multimodal Data Classification In Embedded Real-Time Systems
Multimodal time series signals are generated by different sensors such as accelerometers, magnetometers, gyroscopes and heart rate monitors, where each sensor usually has various number of input channels and sampling rates. ...
A SEMANTICALLY RICH FRAMEWORK TO ENABLE REAL-TIME KNOWLEDGE EXTRACTION AND CLASSIFICATION FROM SHORT LENGTH SEMI-STRUCTURED DOCUMENTS
Regulatory bodies have power or control in a domain or sphere that they monitor and administrate. To ensure the smooth and secure operation of their sphere, authorities formulate policies and rules governing the domain ...
SCAM DETECTION IN ONLINE CLASSIFIED ADVERTISEMENTS
Online classified ad websites have become one of the most fundamental parts of the advertisement industry. Popular customer-to-customer marketplaces such as Craigslist and eBay, have attracted millions of consumers for ...