FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2761121566> ?p ?o ?g. }

• W2761121566 endingPage "3020" @default.
• W2761121566 startingPage "3006" @default.
• W2761121566 abstract "Person reidentification (re-id), as an important task in video surveillance and forensics applications, has been widely studied. Previous research efforts toward solving the person re-id problem have primarily focused on constructing robust vector description by exploiting appearance’s characteristic, or learning discriminative distance metric by labeled vectors. Based on the cognition and identification process of human, we propose a new pattern, which transforms the feature description from characteristic vector to discrepancy matrix. In particular, in order to well identify a person, it converts the distance metric from vector metric to matrix metric, which consists of the intradiscrepancy projection and interdiscrepancy projection parts. We introduce a consistent term and a discriminative term to form the objective function. To solve it efficiently, we utilize a simple gradient-descent method under the alternating optimization process with respect to the two projections. Experimental results on public datasets demonstrate the effectiveness of the proposed pattern as compared with the state-of-the-art approaches." @default.
• W2761121566 created "2017-10-20" @default.
• W2761121566 creator A5006166354 @default.
• W2761121566 creator A5052267876 @default.
• W2761121566 creator A5063253432 @default.
• W2761121566 creator A5071376750 @default.
• W2761121566 creator A5072971703 @default.
• W2761121566 creator A5087165831 @default.
• W2761121566 creator A5087726516 @default.
• W2761121566 date "2018-10-01" @default.
• W2761121566 modified "2023-10-14" @default.
• W2761121566 title "Person Reidentification via Discrepancy Matrix and Matrix Metric" @default.
• W2761121566 cites W140822990 @default.
• W2761121566 cites W1518138188 @default.
• W2761121566 cites W1709635438 @default.
• W2761121566 cites W1928419358 @default.
• W2761121566 cites W1949591461 @default.
• W2761121566 cites W1966286510 @default.
• W2761121566 cites W1971955426 @default.
• W2761121566 cites W1979260620 @default.
• W2761121566 cites W1982925187 @default.
• W2761121566 cites W1991452654 @default.
• W2761121566 cites W1998443077 @default.
• W2761121566 cites W2014850105 @default.
• W2761121566 cites W2025102007 @default.
• W2761121566 cites W2030558520 @default.
• W2761121566 cites W2044228764 @default.
• W2761121566 cites W2046835352 @default.
• W2761121566 cites W2048110836 @default.
• W2761121566 cites W2062677035 @default.
• W2761121566 cites W2068042582 @default.
• W2761121566 cites W2070789837 @default.
• W2761121566 cites W2079972027 @default.
• W2761121566 cites W2088801701 @default.
• W2761121566 cites W2096306138 @default.
• W2761121566 cites W2110096996 @default.
• W2761121566 cites W2114712988 @default.
• W2761121566 cites W2115669554 @default.
• W2761121566 cites W2119605622 @default.
• W2761121566 cites W2125889200 @default.
• W2761121566 cites W2135442311 @default.
• W2761121566 cites W2151873133 @default.
• W2761121566 cites W2194775991 @default.
• W2761121566 cites W2204750386 @default.
• W2761121566 cites W2266694576 @default.
• W2761121566 cites W2289130514 @default.
• W2761121566 cites W2293561010 @default.
• W2761121566 cites W2300840837 @default.
• W2761121566 cites W2326772079 @default.
• W2761121566 cites W2407677957 @default.
• W2761121566 cites W2433217581 @default.
• W2761121566 cites W2437735720 @default.
• W2761121566 cites W2461349148 @default.
• W2761121566 cites W2468348601 @default.
• W2761121566 cites W2499468060 @default.
• W2761121566 cites W2509704168 @default.
• W2761121566 cites W2510970676 @default.
• W2761121566 cites W2515904052 @default.
• W2761121566 cites W2518224564 @default.
• W2761121566 cites W2520742745 @default.
• W2761121566 cites W2566914900 @default.
• W2761121566 cites W2593146028 @default.
• W2761121566 cites W2593329034 @default.
• W2761121566 cites W2608456260 @default.
• W2761121566 cites W2650426111 @default.
• W2761121566 cites W2752491427 @default.
• W2761121566 cites W2752903123 @default.
• W2761121566 cites W2962790054 @default.
• W2761121566 cites W2963775347 @default.
• W2761121566 cites W3099224353 @default.
• W2761121566 cites W3103722964 @default.
• W2761121566 cites W3106411919 @default.
• W2761121566 cites W46454230 @default.
• W2761121566 doi "https://doi.org/10.1109/tcyb.2017.2755044" @default.
• W2761121566 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28991756" @default.
• W2761121566 hasPublicationYear "2018" @default.
• W2761121566 type Work @default.
• W2761121566 sameAs 2761121566 @default.
• W2761121566 citedByCount "60" @default.
• W2761121566 countsByYear W27611215662018 @default.
• W2761121566 countsByYear W27611215662019 @default.
• W2761121566 countsByYear W27611215662020 @default.
• W2761121566 countsByYear W27611215662021 @default.
• W2761121566 countsByYear W27611215662022 @default.
• W2761121566 crossrefType "journal-article" @default.
• W2761121566 hasAuthorship W2761121566A5006166354 @default.
• W2761121566 hasAuthorship W2761121566A5052267876 @default.
• W2761121566 hasAuthorship W2761121566A5063253432 @default.
• W2761121566 hasAuthorship W2761121566A5071376750 @default.
• W2761121566 hasAuthorship W2761121566A5072971703 @default.
• W2761121566 hasAuthorship W2761121566A5087165831 @default.
• W2761121566 hasAuthorship W2761121566A5087726516 @default.
• W2761121566 hasConcept C106487976 @default.
• W2761121566 hasConcept C11413529 @default.
• W2761121566 hasConcept C138885662 @default.
• W2761121566 hasConcept C153180895 @default.
• W2761121566 hasConcept C153258448 @default.
• W2761121566 hasConcept C154945302 @default.

• next