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Comments to European Commission on Proposed Google Commitments

The European Commission last month posted a restatement of its concerns at certain Google practices as well as Google’s proposed commitments. This week I filed two comments, including one with Zhenyu Lai, critiquing Google’s proposal. They are avail… → Read More: Comments to European Commission on Proposed Google Commitments

Comments to European Commission on Proposed Google Commitments

The European Commission last month posted a restatement of its concerns at certain Google practices as well as Google’s proposed commitments. This week I filed two comments, including one with Zhenyu Lai, critiquing Google’s proposal. They are avail… → Read More: Comments to European Commission on Proposed Google Commitments

Multiple Sensorial (MulSeMedia) Multi-modal Media: Advances and Applications

Article from: http://multimediacommunication.blogspot.gr/2013/05/multiple-sensorial-mulsemedia-multi.html Call for Papers ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) Multiple Sensorial (MulSeMedia) Multi-modal M… → Read More: Multiple Sensorial (MulSeMedia) Multi-modal Media: Advances and Applications

Bootstrapping Visual Categorization With Relevant Negatives

Article from http://www.ceessnoek.info/ The paper “Bootstrapping Visual Categorization With Relevant Negatives” by Xirong Li, Cees Snoek, Marcel Worring, Dennis Koelma, and Arnold Smeulders appears in the current issue of IEEE Transaction on Multim… → Read More: Bootstrapping Visual Categorization With Relevant Negatives

Vuforia™ Featured Apps Video Spring 2013

Vuforia™ is the software platform that enables the best and most creative branded augmented reality (AR) app experiences across the most real world environments, giving mobile apps the power to see. The Vuforia platform uses superior, stable, and te… → Read More: Vuforia™ Featured Apps Video Spring 2013

Why 95% +/- 2% makes little sense for e-discovery certification

It is common in e-discovery protocols to see a requirement that the production be certified with a “95% +/- X%” sample (where “X%” takes on values such as “2%” or “5%”), leading to a required sample size being specified up front. (See, for instance, the ESI protocol that was recently debated in the ongoing Da […] → Read More: Why 95% +/- 2% makes little sense for e-discovery certification

Golden Retriever Image Retrieval Engine (GRIRE)

The GRire library is an open source, light-weight framework for implementing CBIR (Content Based Image Retrieval) methods. It contains various image feature extractors, descriptors, classifiers, databases and other necessary tools. Currently, the main … → Read More: Golden Retriever Image Retrieval Engine (GRIRE)

ONLY FOR CHILDREN

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