Fake Product Review Monitoring System

Real Fake Real Fake

IRIS recognition system with fake identification

This paper focuses on the iris recognition without the cooperation of the subject. The main objective of this analysis is to implement a system that can identify fake identification and deal with noisy images. Current iris recognition system lacks the capability to deal with noisy images and produces increased error rates. In these conditions, we propose a system that can overcome these barrier...

Content Rating and Fake Detection system

We present here the web-interface we designed and implemented to make it easier to access our data on P2P activity. In particular, this interface makes it browsable by browsing from files to related users, and conversely. Moreover, we include in this interface richer information which we precompute, like lists of files of interest for a given user, list of users providing a given file, list of ...

Fake!

Received: 3 October 2005 Accepted: 3 October 2005 One of my most memorable experiences with Claudio occured in Cleveland about 10 years ago. I was serving as department chair, and had organized a semester long research seminar, bringing one great scholar in for a full week, every week of the term. During their week in residence, the visitors would give two seminars and meet informally with facu...

Monitoring Data Product Quality