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        <identifier>oai:drops-oai.dagstuhl.de:26065</identifier>
        <datestamp>2026-06-23T13:18:50Z</datestamp>
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          <dc:title>Bichromatic Classifications of Points Using Strips</dc:title>
          <dc:creator>Lee, Jaegun</dc:creator>
          <dc:creator>Chung, Chaeyoon</dc:creator>
          <dc:creator>Ahn, Hee-Kap</dc:creator>
          <dc:subject>Bichromatic Classification</dc:subject>
          <dc:subject>Separation</dc:subject>
          <dc:subject>Strip</dc:subject>
          <dc:subject>Duality</dc:subject>
          <dc:description>Given a set of n points in the plane, each colored either blue or red, we study the problem of finding a strip that separates the blue points from the red points. Specifically, we consider the following two variants: (1) locating a strip that contains no red points while maximizing the number of blue points within the strip, and (2) locating a strip that contains all blue points while minimizing the number of red points within the strip. For variant (1), we present an O(n²)-time algorithm, improving upon the previously best O(n²log n)-time result. We also show that this running time is optimal under the standard 3SUM conjecture. We also give an output-sensitive algorithm with running time O(k_{opt} n log n) that returns a strip, where k_{opt} is the number of blue points not contained within the strip in an optimal solution. We extend our results to the case of up to t parallel strips, obtaining an O(n²log n)-time algorithm. For variant (2), an optimal Θ(nlog n)-time algorithm is known for t = 1. We show 3SUM-hardness for t = 2 and give an O(n²)-time algorithm. For any t ≥ 3, we present an O(n²log n)-time algorithm.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jaegun Lee and Chaeyoon Chung and Hee-Kap Ahn</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 370, 20th Scandinavian Symposium on Algorithm Theory (SWAT 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SWAT.2026.29</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-260659</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2026.29</dc:identifier>
          <dc:language>eng</dc:language>
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