1,721,128 research outputs found
Ask A Dore with T.J. Greenstone - 10/16/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with T.J. Greenstone - 10/16/09." By CBS College Sports
Ask A Dore with Thomas Welch - 09/25/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with Thomas Welch - 09/25/09." By CBS College Sports
Ask A Dore with Adam Smotherman - 09/10/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with Adam Smotherman - 09/10/09." By CBS College Sports
Ask A Dore with Jamie Graham - 08/24/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with Jamie Graham - 08/24/09." By CBS College Sports
Ask A Dore with Patrick Benoist - 10/09/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with Patrick Benoist - 10/09/09." By CBS College Sports
Ask A Dore with Brent Trice - 09/18/09
Includes descriptive metadata provided by producer in MP3 audio file: "Vanderbilt Athletics Podcast - Ask A Dore with Brent Trice - 09/18/09." By CBS College Sports
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"MULTIPLE CUE ADAPTIVE TRACKING OF DEFORMABLE OBJECTS WITH PARTICLE FILTER,"
This paper presents a tracking algorithm based on a sequential importance sampling (SIS) particle filter scheme followed by a resampling strategy where shape and color cues are exploited to handle deformable objects. The state vector is composed by a set of corners and it enables to jointly describe position and shape of the target. Mean Shift trackers, applied to color cues associated to state subspaces, are employed to predict the target global motion. An adaptive system noise is defined based on this information to cope with local deformations. The updating procedure is accomplished by a shape matching technique. Experimental results prove the effectiveness of the proposed approach with respect to simple deformations, partial occlusions and moving camera
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