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Finite population protocols and selection training methods

In a previous post, I compared three methods of selecting training examples for predictive coding—random, uncertainty and relevance. The methods were compared on their efficiency in improving the accuracy of a text classifier; that is, the number of training documents required to achieve a certain level of accuracy (or, conversely, the level of accuracy achieved […] → Read More: Finite population protocols and selection training methods

Gesture Viewport: Interacting with Media Content Using Finger Gestures on Any Surface

At ICME 2014 in Chengdu, China, we presented a technical demo called “Gesture Viewport,” which is a projector-camera system that enables finger gesture interactions with media content on any surface. In the demo, we used a portable Pico projector to project a viewport widget (along with its content) onto a desktop and a Logitech webcam […] → Read More: Gesture Viewport: Interacting with Media Content Using Finger Gestures on Any Surface

Gesture Viewport: Interacting with Media Content Using Finger Gestures on Any Surface

At ICME 2014 in Chengdu, China, we presented a technical demo called “Gesture Viewport,” which is a projector-camera system that enables finger gesture interactions with media content on any surface. In the demo, we used a portable Pico projector to project a viewport widget (along with its content) onto a desktop and a Logitech webcam […] → Read More: Gesture Viewport: Interacting with Media Content Using Finger Gestures on Any Surface

Grire-example

This is an example implementation of Golden Retriever – an open source Image Retrieval Engine, located at grire.net You may use this source for building a command line based image search engine. Example command line arguments. Adding an imagefolder jav… → Read More: Grire-example

Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates

Carlier A, Salvador A, Giró-i-Nieto X, Marques O, Charvillat V. Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In: 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). In Press Abstract This paper … → Read More: Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Do Topic-Dependent Models Improve Microblog Sentiment Estimation?

When estimating the sentiment of movie and product reviews, domain adaptation has been shown to improve sentiment estimation performance.  But when estimating the sentiment in microblogs, topic-independent sentiment models are commonly used. We examined whether topic-dependent models improve performance when a large number of training tweets are available. We collected tweets with emoticons for six […] → Read More: Do Topic-Dependent Models Improve Microblog Sentiment Estimation?

Do Topic-Dependent Models Improve Microblog Sentiment Estimation?

When estimating the sentiment of movie and product reviews, domain adaptation has been shown to improve sentiment estimation performance.  But when estimating the sentiment in microblogs, topic-independent sentiment models are commonly used. We examined whether topic-dependent models improve performance when a large number of training tweets are available. We collected tweets with emoticons for six […] → Read More: Do Topic-Dependent Models Improve Microblog Sentiment Estimation?

Susan Dumais SIGIR 2014 ACM Athena Award Lecture

Sue Dumais - Introduced by Marti Hearsthttp://research.microsoft.com/en-us/um/people/sdumais/Putting the searcher back into searchThe Changing IR landscape - from an arcane skill for librarians and computer geeks to the fabric of everyone’s l… → Read More: Susan Dumais SIGIR 2014 ACM Athena Award Lecture