Segmentation based object categorization spectral (4 risultati)

Titolo
Perfeziona con la Ricerca avanzata

Perfeziona la tua ricerca

  • Libri (4)

  • Nuovo (4)

  • Con foto (4)

a

Fascia di prezzo personalizzata (EUR)

a

    • Lingua: Inglese

      Editore: OmniScriptum, 2026

      613788807X / 9786137888070

      • Brossura
      • Print on Demand

      Da: preigu, Osnabrück, Germaniapreigu

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 94,40

      EUR 70,00 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 5 disponibili

      Taschenbuch. Condizione: Neu. Segmentation-Based Object Categorization | Spectral Graph Theory | Adélaïde Laurie Felicie | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786137888070 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

    • Lingua: Inglese

      Editore: OmniScriptum, 2026

      6131393664 / 9786131393662

      • Brossura
      • Print on Demand

      Da: preigu, Osnabrück, Germaniapreigu

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 94,40

      EUR 70,00 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 5 disponibili

      Taschenbuch. Condizione: Neu. Segmentation Based Object Categorization | NP- Hard, Spectral Graph Theory, QR Algorithm | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131393662 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

    • Lingua: Inglese

      Editore: Omniscriptum, 2026

      613788807X / 9786137888070

      • Brossura
      • Print on Demand

      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 162,38

      EUR 30,50 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation.The set of points in an arbitrary feature space can be represented as a weighted undirected complete graph G = (V, E), where the nodes of the graph are the points in the feature space. The weight wij of an edge (i, j) in E is a function of the similarity between the nodes i and j. In this context, we can formulate the image segmentation problem as a graph partitioning problem that asks for a partition V_1, cdots, V_k of the vertex set V, where, according to some measure, the vertices in any set Vi have high similarity, and the vertices in two different sets Vi,Vj have low similarity.

    • Lingua: Inglese

      Editore: Omniscriptum, 2026

      6131393664 / 9786131393662

      • Brossura
      • Print on Demand

      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 162,38

      EUR 30,50 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation. OBJ CUT is an efficient method that automatically segments an object. The OBJ CUT method is a generic method, and therefore it is applicable to any object category model. Given an image D containing an instance of a known object category, e.g. cows, the OBJ CUT algorithm computes a segmentation of the object, that is, it infers a set of labels m.