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Paul D. Over, Jonathan G. Fiscus, Gregory A. Sanders, Barbara L. Shaw, Martial Michel, George Awad, Alan Smeaton, Wessel Kraaij, Georges Quenot
The TREC Video Retrieval Evaluation (TRECVID) 2012 was a TREC-style video analysis and retrieval evaluation, the goal of which was to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. TRECVID 2012
Gregory A. Sanders, Brian A. Weiss, Craig I. Schlenoff, Michelle P. Steves, Sherri Condon
One of the most difficult challenges that military personnel face when operating in foreign countries is clear and successful communication with the local population. To address this issue, the Defense Advanced Research Projects Agency (DARPA) is funding
Abstract: In theory, quantum computers can be used to efficiently factor numbers, quadratically speed up many search and optimization problems, and enable currently impossible physics simulations. At first, quantum states appeared to be too fragile for
Ian M. Soboroff, Dean P. McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie
Twitter offers a phenomenal platform for the social sharing of information. We describe new resources that have been created in the context of the Text Retrieval Conference (TREC) to support the academic study of Twitter as a real-time information source
Yi-Kai Liu, Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade
The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g. the words in each document are generated as a mixture of several active topics
David R. Novotny, Daniel G. Kuester, Jeffrey R. Guerrieri
We present a method for measuring Ultra-High Frequency Radio-Frequency Identification (UHF RFID) tag differential RCS that has the potential for being easier and more accurate than current and proposed methods [1-2]. This method is based on accurately
Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper
As the usage of 3D models increases, so does the importance of developing accurate 3D shape retrieval algorithms. A common approach is to calculate a shape descriptor for each object, which can then be compared to determine two objects similarity. However
TO HAVE CONFIDENCE IN THE KNOWLEDGE GLEANED FROM DATA, IT IS ESSENTIAL TO VERIFY THE QUALITY OF THE DATA SOURCES AND TO HAVE A MEANS OF QUANTIFYING THE POTENTIAL UNCERTAINTIES DUE TO THE QUALITY OF DATA FOR MAKING CRITICAL, INTELLIGENT DECISIONS. HIGH
The Blog track aims to investigate the information seeking behavior in the blogosphere. The track was initiated in 2006, and has used an incremental approach in tackling several search tasks by their level of difficulty. In TREC 2010, the track has
Rahul Murmuria, Jeffrey Medsger, Angelos Stavrou, Jeff Voas
Reducing power consumption has become a crucial design tenet for both mobile and other small computing devices that are not constantly connected to a power source. However, unlike devices that have a limited and predefined set of functionality, recent
Ian M. Soboroff, Rodrygo Santos, Craig Macdonald, Richard McCreadie, Iadh Ounis
Blogs have recently emerged as a new open, rapidly evolving and reac- tive publishing medium on the Web. Rather than managed by a central entity, the content on the blogospherethe collection of all blogs on the Webis produced by millions of independent
Abstract Measuring the dissimilarity between non-rigid objects is a challenging problem in 3D shape retrieval. One potential solution is to construct the models 3D canonical forms (i.e., isometry-invariant representations in 3D Euclidean domain) on which
Cell measurements are derived frequently from the results of pixel classification and contiguous region segmentation of microscopy images. Image segmentation is accomplished by classifying image pixels based on high dimensional image features computed from
Antonio Cardone, Sergio Hassan, Mary C. Brady, Ram D. Sriram, Harish C. Pant
Protein function depends on shape changes that are triggered by interactions with other molecules. Insights into protein dynamics and interactions enable the understanding of certain pathologies, which may be caused by the deregulation of protein functions
Verifying correctness of stated facts, rules, and term definitions for an industrial domain of work requires the contributions of experts in the domain. Conversely, use of automated reasoning technologies to assist in making industry decisions and
In this paper, we present an evaluation strategy based on human-generated ground truth to measure the performance of 3D interest point detection techniques. We provide quantitative evaluation measures that relate automatically detected interest points to
This paper presents a novel convexity measurement for 3D meshes. The new convexity measure is calculated by minimizing the ratio of the summed area of valid regions in a meshs six views, which are projected on faces of the bounding box whose edges are
The short persepctive explains the concept behind Internet of Things (IoT). The publication is a perspectives piece for an IEEE magazine and not intended to be technical. This is intended to be published in a specific column in the magazine.
Karolina K. Owczarzak, Peter Rankel, Hoa T. Dang, John M. Conroy
We investigate the consistency of human assessors involved in summarization evaluation to understand its effect on system ranking and automatic evaluation techniques. Using Text Analysis Conference data, we measure annotator consistency based on human
Mark L. Badger, Timothy Grance, Robert Patt-Corner, Jeffrey M. Voas
This document reprises the NIST-established definition of cloud computing, describes cloud computing benefits and open issues, presents an overview of major classes of cloud technology, and provides guidelines and recommendations on how organizations
Stephanie Strassel, Amanda Morris, Jonathan G. Fiscus, Christopher Caruso, Haejoong Lee, Paul D. Over, James Fiumara, Barbara L. Shaw, Brian Antonishek, Martial Michel
Linguistic Data Consortium and the National Institute of Standards and Technology are collaborating to create a large, heterogeneous annotated multimodal corpus to support research in multimodal event detection and related technologies. The HAVIC
Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the