Special Sessions - Revision history

Faber at 08:46, 29 June 2016

2016-06-29T08:46:35Z

Faber at 07:50, 1 April 2016

2016-04-01T07:50:33Z

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Faber at 10:21, 21 March 2016

2016-03-21T10:21:01Z

Faber at 15:40, 2 March 2016

2016-03-02T15:40:23Z

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Faber at 11:34, 29 February 2016

2016-02-29T11:34:19Z

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Faber at 13:35, 24 February 2016

2016-02-24T13:35:37Z

Faber at 16:40, 23 February 2016

2016-02-23T16:40:43Z

Faber at 16:17, 23 February 2016

2016-02-23T16:17:02Z

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Faber at 14:06, 23 February 2016

2016-02-23T14:06:18Z

Faber at 14:02, 23 February 2016

2016-02-23T14:02:57Z

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+[[File:Cd0b00_d92f75fa3e9445979ac32d86a85165bd.gif|112px|Conference Catalysts, LLC|link=http://www.conferencecatalysts.com/]][[File:Blank.png|link=]][[File:Congress-and-more_logo.png|congress and morecongress and more|link=http://congressandmore.de/]]
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 * [[Special_Sessions#ss8| SS8 Recent Advances in Estimation Performance Bounds and Applications]]
 * [[Special_Sessions#ss9| SS9 Sequential Monte Carlo Methods for Complex Systems]]
-* [[Special_Sessions#ss10| SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion]]
+* [[Special_Sessions#ss10| SS10 Multi-Level Fusion: Bridging the Gap Between High and Low Level Fusion]]
 * [[Special_Sessions#ss11| SS11 Kalman Filter Based Nonlinear Estimation]]
 * [[Special_Sessions#ss12| SS12 Advances in Distributed Kalman Filtering]]
@@ Line 253: / Line 253: @@
 {| id="mp-upper" style="width: 80%; margin:4px 0 0 0; background:none; border-spacing: 0px;"
 <div id="ss10"></div>
-<!--        SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion        -->
+<!--        SS10 Multi-Level Fusion: Bridging the Gap Between High and Low Level Fusion        -->
 | class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
 {| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS10 Multi-Level Fusion: Bridging the Gap Between High and Low Level Fusion</h2>
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 '''Description:''' This session is concerned with homotopy methods for the efficient solution of Bayesian state estimation problems occurring in information fusion and filtering. For state estimation in the presence of stochastic uncertainties, the best current estimate is represented by a probability density function. For that purpose, different representations are used including continuous densities such as Gaussian mixtures or discrete densities on continuous domain such as particle sets. Given prior knowledge in form of such a density, the goal is to include new information by means of Bayes' theorem. Typically, the resulting posterior density is of higher complexity and difficult to compute. In the case of particle sets, additional problems such as particle degeneracy occur. Hence, an appropriate approximate posterior has to be found. For recursive applications, this approximate posterior should be of the same form as the given prior density (approximate closedness). To cope with this challenging approximation problem, a well-established technique is to gradually include the new information instead of using it in one shot, which is achieved by a homotopy. For this session, manuscripts are invited that cover any aspect of homotopy methods for state estimation. This includes both theoretically oriented work and applications of known methods.
-'''Organizers:''' [mailto:Uwe.Hanebeck@kit.edu Uwe D. Hanebeck], and [mailto:Frederick_E_Daum@raytheon.com Fred Daum ]
+'''Organizers:''' [mailto:Uwe.Hanebeck@kit.edu Uwe D. Hanebeck] and [mailto:Frederick_E_Daum@raytheon.com Fred Daum ]
 <div align="right">
@@ Line 194: / Line 194: @@
 The primary goal of this session is to promote interaction between the astrodynamics and space situational awareness community with those conducting research in information fusion and multi-target tracking. The secondary goal is a gathering of the individuals performing research on the associated topics to present, discuss, and disseminate ideas related to solving the detection, tracking, identification, and classification problems in the context of space situational awareness.
-'''Organizers:'''  Kyle DeMars, and Brandon Jones
+'''Organizers:'''  Kyle DeMars and Brandon Jones
 </div>
@@ Line 219: / Line 219: @@
 This special session aims at bringing together different experts in the field of estimation performance bounds to discuss the newest research results in this area. Of particular interest are developments of novel bounds, such as e.g. Bayesian bounds, non-Bayesian bounds, hybrid bounds, misspecified bounds, as well as new results for the CRLB with application to for instance target tracking, sensor networks, aerospace, or localization.
-'''Organizers:''' [mailto:carsten@isy.liu.se Carsten Fritsche], and [mailto:fredrik@isy.liu.se Fredrik Gustafsson]
+'''Organizers:''' [mailto:carsten@isy.liu.se Carsten Fritsche] and [mailto:fredrik@isy.liu.se Fredrik Gustafsson]
 <div align="right">
@@ Line 324: / Line 324: @@
 '''Description:''' This proposal is to propose a special session of applying data fusion and predictive analytics to finance, business, and marketing within the Fusion 2016 conference. Finance and business are critical application areas in information fusion and data analytics. Many of the techniques discussed in the information fusion community are directly applicable to this emerging and important application area. The goal of this proposed session is to open up a forum for data scientists and engineer to share their latest experience and insight on applying the predictive modeling and data analytics techniques to the applications in finance and business areas.
-'''Organizers:''' [mailto:kchang@gmu.edu KC Chang], and [mailto:ztian1@gmu.edu Zhi Tian]
+'''Organizers:''' [mailto:kchang@gmu.edu KC Chang] and [mailto:ztian1@gmu.edu Zhi Tian]
 <div align="right">
@@ Line 370: / Line 370: @@
 '''Description:''' This special session focuses on multistatic sonar and radar information fusion and target tracking algorithms. Recent years have seen increasing interest in fusion and tracking algorithms for multistatic systems. Challenges include the effective treatment of bistatic sensor nodes, non-linear measurements, and false alarm overloading. Recent progress in multistatic tracking has been facilitated by the Multistatic Tracking Working Group (MSTWG), an International Society of Information Fusion (ISIF) working group. The purpose of this working group is to evaluate a large variety of multistatic tracking algorithms available amongst group members on common data sets with common metrics. The reporting of these results and other related multistatic topics has been of great value to MSTWG and ISIF in the form of numerous papers and participation during similar special sessions in previous FUSION conferences since 2006. A special session on multistatic sonar/radar tracking at FUSION’16 will enable current MSTWG outputs and other contributions by others outside of this group to be documented.
-'''Organizers:''' [mailto:garfield.mellema@drdc-rddc.gc.ca Garfield R. Mellema], and [mailto:dkrout@apl.washington.edu David W. Krout]
+'''Organizers:''' [mailto:garfield.mellema@drdc-rddc.gc.ca Garfield R. Mellema] and [mailto:dkrout@apl.washington.edu David W. Krout]
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@@ Line 414: / Line 414: @@
 This Special Session addresses fundamental techniques, recent developments and future research directions in the field of MDA sensor data fusion. It brings together academic, industry and government experts working on topics related to the field of MDA.
-'''Organizers:''' Thomas Kausch, and Kevin Brinkmann
+'''Organizers:''' Thomas Kausch and Kevin Brinkmann
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@@ Line 509: / Line 509: @@
 This special session will be supported by the European Association for Biometrics (EAB). The EAB will provide technical support by addressing experts for reviews and will help with the dissemination and exploitation of the event.
-'''Organizers:''' [mailto:naser.damer@igd.fraunhofer.de Naser Damer], and [mailto:raghavendra.ramachandra@hig.no Raghavendra Ramachandra]
+'''Organizers:''' [mailto:naser.damer@igd.fraunhofer.de Naser Damer] and [mailto:raghavendra.ramachandra@hig.no Raghavendra Ramachandra]
 <div align="right">

@@ Line 128: / Line 128: @@
 <div id="ss5"></div>
 <!--        SS5  Context-based Information Fusion        -->
-| class="MainPageBG" style="width:100%; border:1px solid #fff784; background:#fffff7; vertical-align:top; color:#000;" |
+| class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
-{| id="mp-left" style="width:100%; vertical-align:top; background:#fffff7;"
+{| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">SS5 Data Fusion Methods for Indoor Localization of People and Objects</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS5 Data Fusion Methods for Indoor Localization of People and Objects</h2>
 |-
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@@ Line 219: / Line 219: @@
 <div id="ss10"></div>
 <!--        SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion        -->
-| class="MainPageBG" style="width:100%; border:1px solid #fff784; background:#fffff7; vertical-align:top; color:#000;" |
+| class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
-{| id="mp-left" style="width:100%; vertical-align:top; background:#fffff7;"
+{| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS10 Multi-Level Fusion: Bridging the Gap between High and Low Level Fusion</h2>
 |-
 | style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">
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 <div id="ss12"></div>
 <!--        SS12 Advances in Distributed Kalman Filtering        -->
-| class="MainPageBG" style="width:100%; border:1px solid #fff784; background:#fffff7; vertical-align:top; color:#000;" |
+| class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
-{| id="mp-left" style="width:100%; vertical-align:top; background:#fffff7;"
+{| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">SS12 Advances in Distributed Kalman Filtering</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS12 Advances in Distributed Kalman Filtering</h2>
 |-
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 <div id="ss17"></div>
 <!--        SS17 Maritime Domain Awareness        -->
-| class="MainPageBG" style="width:100%; border:1px solid #fff784; background:#fffff7; vertical-align:top; color:#000;" |
+| class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
-{| id="mp-left" style="width:100%; vertical-align:top; background:#fffff7;"
+{| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">SS17 Maritime Domain Awareness</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS17 Maritime Domain Awareness</h2>
 |-
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 <div id="ss22"></div>
 <!--        SS22 Situational Understanding Through Equivocal Sources        -->
-| class="MainPageBG" style="width:100%; border:1px solid #fff784; background:#fffff7; vertical-align:top; color:#000;" |
+| class="MainPageBG" style="width:100%; border:1px solid #f2ea7e; background:#ffffe8; vertical-align:top; color:#000;" |
-{| id="mp-left" style="width:100%; vertical-align:top; background:#fffff7;"
+{| id="mp-left" style="width:100%; vertical-align:top; background:#ffffe8;"
-| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">SS22 Situational Understanding Through Equivocal Sources</h2>
+| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">SS22 Situational Understanding Through Equivocal Sources</h2>
 |-
 | style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">