Sparse structure regularized ranking
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| 003 | CHVBK | ||
| 005 | 20210128100129.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1939-9 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1939-9 | ||
| 245 | 0 | 0 | |a Sparse structure regularized ranking |h [Elektronische Daten] |c [Jim Wang, Yijun Sun, Xin Gao] |
| 520 | 3 | |a Learning ranking scores is critical for the multimedia database retrieval problem. In this paper, we propose a novel ranking score learning algorithm by exploring the sparse structure and using it to regularize ranking scores. To explore the sparse structure, we assume that each multimedia object could be represented as a sparse linear combination of all other objects, and combination coefficients are regarded as a similarity measure between objects and used to regularize their ranking scores. Moreover, we propose to learn the sparse combination coefficients and the ranking scores simultaneously. A unified objective function is constructed with regard to both the combination coefficients and the ranking scores, and is optimized by an iterative algorithm. Experiments on two multimedia database retrieval data sets demonstrate the significant improvements of the propose algorithm over state-of-the-art ranking score learning algorithms. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Multimedia database retrieval |2 nationallicence | |
| 690 | 7 | |a Ranking score |2 nationallicence | |
| 690 | 7 | |a Sparse representation |2 nationallicence | |
| 700 | 1 | |a Wang |D Jim |u New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | |
| 700 | 1 | |a Sun |D Yijun |u New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | |
| 700 | 1 | |a Gao |D Xin |u Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/2(2015-01-01), 635-654 |x 1380-7501 |q 74:2<635 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1939-9 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1939-9 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Jim |u New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Yijun |u New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Gao |D Xin |u Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, 14203, Buffalo, NY, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/2(2015-01-01), 635-654 |x 1380-7501 |q 74:2<635 |1 2015 |2 74 |o 11042 | ||