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18 results on '"Kosinov, Serhiy"'

1. Iterative Majorization Approach to the Distance-based Discriminant Analysis

Author

Kosinov, Serhiy, Marchand-Maillet, Stéphane, Pun, Thierry, Bock, H.-H., editor, Gaul, W., editor, Vichi, M., editor, Arabie, Ph., editor, Baier, D., editor, Critchley, F., editor, Decker, R., editor, Diday, E., editor, Greenacre, M., editor, Lauro, C., editor, Meulman, J., editor, Monari, P., editor, Nishisato, S., editor, Ohsumi, N., editor, Opitz, O., editor, Ritter, G., editor, Schader, M., editor, Weihs, C., editor, Weihs, Claus, editor, and Gaul, Wolfgang, editor

Published
2005
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2. Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval

Author

Kosinov, Serhiy, Marchand-Maillet, Stéphane, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Nürnberger, Andreas, editor, and Detyniecki, Marcin, editor

Published
2004
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5. An eigenspace projection clustering method for inexact graph matching

Author

Caelli, Terry and Kosinov, Serhiy

Abstract

In this paper, we show how inexact graph matching (that is, the correspondence between sets of vertices of pairs of graphs) can be solved using the renormalization of projections of the vertices (as defined in this case by their connectivities) into the joint eigenspace of a pair of graphs and a form of relational clustering, An important feature of this eigenspace renormalization projection clustering (EPC) method is its ability to match graphs with different number of vertices. Shock graph-based shape matching is used to illustrate the model and a more objective method for evaluating the approach using random graphs is explored with encouraging results. Index Terms--Inexact multisubgraph matching, eigendecomposition, eigenspace projections, correspondence clustering, shape matching, random graphs.

Published
2004

8. Machine learning approach to semantic augmentation of multimedia documents for efficient access and retrieval

Author

Kosinov, Serhiy, Marchand-Maillet, Stéphane, and Pun, Thierry

Subjects
ddc:025.063
Abstract

One of the major challenges in content-based multimedia retrieval is due to the problem of semantic gap encountered as a consequence of significant disparities between inherent representational characteristics of multimedia and its meaningful content sought by the user. This work concerns the advancement of the semantic augmentation techniques focused on bringing together low-level visual representation of multimedia and its semantics thus attempting to alleviate the above semantic gap problem by augmenting the information used by a multimedia database system in order to improve the efficiency of access and retrieval. The main emphasis and contributions of this work summarized below are in the domain of supervised discriminative learning methods and ensemble techniques...

Published
2005

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