Difference between revisions of "SISAP 2008"

From OPENRESEARCH fixed Wiki
Jump to navigation Jump to search
(modified through wikirestore by Th)
(modified through wikirestore by orapi)
Line 1: Line 1:
 
{{Event
 
{{Event
 +
| Acronym = SISAP 2008
 +
| Title = First International Workshop on Similarity Search and Applications
 +
| Type = Workshop
 +
| Series =
 
  | Field = Information retrieval
 
  | Field = Information retrieval
 +
| Homepage = www.sisap.org
 +
| Start date = Apr 11, 2008
 +
| End date =  Apr 12, 2008
 +
| City= Cancun
 +
| State =
 +
| Country =  Mexico
 
  | Abstract deadline =  
 
  | Abstract deadline =  
 
  | Submission deadline = Nov 26, 2007
 
  | Submission deadline = Nov 26, 2007
 
  | Notification =  
 
  | Notification =  
  | Camera ready =
+
  | Camera ready =  
| Acronym= SISAP 2008
+
|wikicfpId=1546}}
| End date= 2008/04/12
 
| Series=
 
| Type  = Workshop
 
| Country= MX
 
| State = MX/ROO
 
| City  = MX/ROO/Cancun
 
| Homepage= www.sisap.org
 
| Start date= 2008/04/11
 
| Title = First International Workshop on Similarity Search and Applications
 
| wikicfpId= 1546}}
 
  
 
<pre>
 
<pre>

Revision as of 16:20, 3 November 2021


Event Rating

median worst
Pain3.svg Pain7.svg

List of all ratings can be found at SISAP 2008/rating

SISAP 2008
First International Workshop on Similarity Search and Applications
Dates Apr 11, 2008 (iCal) - Apr 12, 2008
Homepage: www.sisap.org
Location
Location: Cancun, Mexico
Loading map...

Important dates
Submissions: Nov 26, 2007
Table of Contents


The International Workshop on Similarity Search and Applications (SISAP) is a new conference devoted to similarity searching, with emphasis on metric space searching. It aims to fill in the gap left by the various scientific venues devoted to similarity searching in spaces with coordinates, by providing a common forum for theoreticians and practitioners around the problem of similarity searching in general spaces (metric and non-metric) or using distance-based (as opposed to coordinate-based) techniques in general.

SISAP aims to become an ideal forum to exchange real-world, challenging and exciting examples of applications, new indexing techniques, common testbeds and benchmarks, source code, and up-to-date literature through a Web page serving the similarity searching community. Authors are expected to use the testbeds and code from the SISAP Web site for comparing new applications, databases, indexes and algorithms.
	

This CfP was obtained from WikiCFP