The University of Amsterdam’s Concept Detection System at ImageCLEF 2009 View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Koen E. A. van de Sande , Theo Gevers , Arnold W. M. Smeulders

ABSTRACT

Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of the individual concept detectors based on the bag-of-words approach, and less on the hierarchical nature of the concept set used. To increase the robustness of individual concept detectors, our experiments emphasize in particular the role of visual sampling, the value of color invariant features, the influence of codebook construction, and the effectiveness of kernel-based learning parameters. The participation in ImageCLEF 2009 has been successful, resulting in the top ranking for the large-scale visual concept detection task in terms of both EER and AUC. For 40 out of 53 individual concepts, we obtain the best performance of all submissions to this task. For the hierarchical evaluation, which considers the whole hierarchy of concepts instead of single detectors, using the concept likelihoods estimated by our detectors directly works better than scaling these likelihoods based on the class priors. More... »

PAGES

261-268

References to SciGraph publications

Book

TITLE

Multilingual Information Access Evaluation II. Multimedia Experiments

ISBN

978-3-642-15750-9
978-3-642-15751-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-15751-6_32

DOI

http://dx.doi.org/10.1007/978-3-642-15751-6_32

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005081003


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.7177.6", 
          "name": [
            "Intelligent Systems Lab Amsterdam, University of Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van de Sande", 
        "givenName": "Koen E. A.", 
        "id": "sg:person.010442752533.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010442752533.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.7177.6", 
          "name": [
            "Intelligent Systems Lab Amsterdam, University of Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gevers", 
        "givenName": "Theo", 
        "id": "sg:person.012615331106.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012615331106.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.7177.6", 
          "name": [
            "Intelligent Systems Lab Amsterdam, University of Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smeulders", 
        "givenName": "Arnold W. M.", 
        "id": "sg:person.013572151715.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013572151715.45"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.cviu.2008.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006546903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11263-006-9794-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008205152", 
          "https://doi.org/10.1007/s11263-006-9794-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1290082.1290094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020288975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-3264-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028478311", 
          "https://doi.org/10.1007/978-1-4757-3264-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-3264-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028478311", 
          "https://doi.org/10.1007/978-1-4757-3264-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1646396.1646405", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033184760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10994-007-5018-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039556605", 
          "https://doi.org/10.1007/s10994-007-5018-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1386352.1386376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043759849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1011126920638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046312359", 
          "https://doi.org/10.1023/a:1011126920638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:visi.0000029664.99615.94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052687286", 
          "https://doi.org/10.1023/b:visi.0000029664.99615.94"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15751-6_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052874237", 
          "https://doi.org/10.1007/978-3-642-15751-6_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15751-6_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052874237", 
          "https://doi.org/10.1007/978-3-642-15751-6_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.977559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061157343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpami.2009.132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061743716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpami.2009.154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061743736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1561/0600000017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068000465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1561/1500000014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068001280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccv.2005.66", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093344916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.2006.68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094512911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.2005.16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095244523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.2005.16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095244523"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of the individual concept detectors based on the bag-of-words approach, and less on the hierarchical nature of the concept set used. To increase the robustness of individual concept detectors, our experiments emphasize in particular the role of visual sampling, the value of color invariant features, the influence of codebook construction, and the effectiveness of kernel-based learning parameters. The participation in ImageCLEF 2009 has been successful, resulting in the top ranking for the large-scale visual concept detection task in terms of both EER and AUC. For 40 out of 53 individual concepts, we obtain the best performance of all submissions to this task. For the hierarchical evaluation, which considers the whole hierarchy of concepts instead of single detectors, using the concept likelihoods estimated by our detectors directly works better than scaling these likelihoods based on the class priors.", 
    "editor": [
      {
        "familyName": "Peters", 
        "givenName": "Carol", 
        "type": "Person"
      }, 
      {
        "familyName": "Caputo", 
        "givenName": "Barbara", 
        "type": "Person"
      }, 
      {
        "familyName": "Gonzalo", 
        "givenName": "Julio", 
        "type": "Person"
      }, 
      {
        "familyName": "Jones", 
        "givenName": "Gareth J. F.", 
        "type": "Person"
      }, 
      {
        "familyName": "Kalpathy-Cramer", 
        "givenName": "Jayashree", 
        "type": "Person"
      }, 
      {
        "familyName": "M\u00fcller", 
        "givenName": "Henning", 
        "type": "Person"
      }, 
      {
        "familyName": "Tsikrika", 
        "givenName": "Theodora", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-15751-6_32", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-15750-9", 
        "978-3-642-15751-6"
      ], 
      "name": "Multilingual Information Access Evaluation II. Multimedia Experiments", 
      "type": "Book"
    }, 
    "name": "The University of Amsterdam\u2019s Concept Detection System at ImageCLEF 2009", 
    "pagination": "261-268", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005081003"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-15751-6_32"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "183563a4f1f3c6e6e22caac3816734249474c79315a7a5f1c45f391b696c4e0a"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-15751-6_32", 
      "https://app.dimensions.ai/details/publication/pub.1005081003"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000363_0000000363/records_70028_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-15751-6_32"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-15751-6_32'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-15751-6_32'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-15751-6_32'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-15751-6_32'


 

This table displays all metadata directly associated to this object as RDF triples.

169 TRIPLES      23 PREDICATES      45 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-15751-6_32 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Nbccfeff0e6e445808e6524ff01fc5bda
4 schema:citation sg:pub.10.1007/978-1-4757-3264-1
5 sg:pub.10.1007/978-3-642-15751-6_10
6 sg:pub.10.1007/s10994-007-5018-6
7 sg:pub.10.1007/s11263-006-9794-4
8 sg:pub.10.1023/a:1011126920638
9 sg:pub.10.1023/b:visi.0000029664.99615.94
10 https://doi.org/10.1016/j.cviu.2008.07.003
11 https://doi.org/10.1109/34.977559
12 https://doi.org/10.1109/cvpr.2005.16
13 https://doi.org/10.1109/cvpr.2006.68
14 https://doi.org/10.1109/iccv.2005.66
15 https://doi.org/10.1109/tpami.2009.132
16 https://doi.org/10.1109/tpami.2009.154
17 https://doi.org/10.1145/1290082.1290094
18 https://doi.org/10.1145/1386352.1386376
19 https://doi.org/10.1145/1646396.1646405
20 https://doi.org/10.1561/0600000017
21 https://doi.org/10.1561/1500000014
22 schema:datePublished 2010
23 schema:datePublishedReg 2010-01-01
24 schema:description Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of the individual concept detectors based on the bag-of-words approach, and less on the hierarchical nature of the concept set used. To increase the robustness of individual concept detectors, our experiments emphasize in particular the role of visual sampling, the value of color invariant features, the influence of codebook construction, and the effectiveness of kernel-based learning parameters. The participation in ImageCLEF 2009 has been successful, resulting in the top ranking for the large-scale visual concept detection task in terms of both EER and AUC. For 40 out of 53 individual concepts, we obtain the best performance of all submissions to this task. For the hierarchical evaluation, which considers the whole hierarchy of concepts instead of single detectors, using the concept likelihoods estimated by our detectors directly works better than scaling these likelihoods based on the class priors.
25 schema:editor N19ab66950b7c47b399df55a6e8dcee82
26 schema:genre chapter
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N8e0452b708714b359a674b5e67aa8089
30 schema:name The University of Amsterdam’s Concept Detection System at ImageCLEF 2009
31 schema:pagination 261-268
32 schema:productId N1f53e55b265e4db982aa5d0d3da03993
33 N23550d8e591b4fb0ae94a5a29aa42a09
34 N824a93eadf5e4f3dab35a1351da4e7e5
35 schema:publisher N1825022e36934466b1b5651e864600d3
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005081003
37 https://doi.org/10.1007/978-3-642-15751-6_32
38 schema:sdDatePublished 2019-04-16T08:21
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N81c2c37693dc41138c50054ab28d7ddb
41 schema:url https://link.springer.com/10.1007%2F978-3-642-15751-6_32
42 sgo:license sg:explorer/license/
43 sgo:sdDataset chapters
44 rdf:type schema:Chapter
45 N0db18a51a5614c809d19b0393bd5d0d7 rdf:first N879feece50cd4c6e92e562af81ce6b8c
46 rdf:rest rdf:nil
47 N1825022e36934466b1b5651e864600d3 schema:location Berlin, Heidelberg
48 schema:name Springer Berlin Heidelberg
49 rdf:type schema:Organisation
50 N19ab66950b7c47b399df55a6e8dcee82 rdf:first N77f7d392e1c14fdba92ef96bb9358b77
51 rdf:rest Nbfd59ca39789422b9f3aabf6723fe700
52 N1d49a8433d534b8c81d7427c05c0a7b8 schema:familyName Gonzalo
53 schema:givenName Julio
54 rdf:type schema:Person
55 N1f53e55b265e4db982aa5d0d3da03993 schema:name readcube_id
56 schema:value 183563a4f1f3c6e6e22caac3816734249474c79315a7a5f1c45f391b696c4e0a
57 rdf:type schema:PropertyValue
58 N208d0711ac264c56b4c6131dc20af64e schema:familyName Caputo
59 schema:givenName Barbara
60 rdf:type schema:Person
61 N23550d8e591b4fb0ae94a5a29aa42a09 schema:name dimensions_id
62 schema:value pub.1005081003
63 rdf:type schema:PropertyValue
64 N352a6c55aed64528b4a297eacb163e00 rdf:first N353b14b5cf03480ab4ae6c7b3fd8274c
65 rdf:rest N532ae3507f914b59a04208ba5f205a69
66 N353b14b5cf03480ab4ae6c7b3fd8274c schema:familyName Kalpathy-Cramer
67 schema:givenName Jayashree
68 rdf:type schema:Person
69 N532ae3507f914b59a04208ba5f205a69 rdf:first N6520813b7b7346b0b39ff28b3359f1b1
70 rdf:rest N0db18a51a5614c809d19b0393bd5d0d7
71 N6520813b7b7346b0b39ff28b3359f1b1 schema:familyName Müller
72 schema:givenName Henning
73 rdf:type schema:Person
74 N77f7d392e1c14fdba92ef96bb9358b77 schema:familyName Peters
75 schema:givenName Carol
76 rdf:type schema:Person
77 N81c2c37693dc41138c50054ab28d7ddb schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N824a93eadf5e4f3dab35a1351da4e7e5 schema:name doi
80 schema:value 10.1007/978-3-642-15751-6_32
81 rdf:type schema:PropertyValue
82 N8257b24dfcc44f2dbcc41c0d8647a139 rdf:first Nf77d51e150174f69859c9e3bc202e08a
83 rdf:rest N352a6c55aed64528b4a297eacb163e00
84 N879feece50cd4c6e92e562af81ce6b8c schema:familyName Tsikrika
85 schema:givenName Theodora
86 rdf:type schema:Person
87 N8e0452b708714b359a674b5e67aa8089 schema:isbn 978-3-642-15750-9
88 978-3-642-15751-6
89 schema:name Multilingual Information Access Evaluation II. Multimedia Experiments
90 rdf:type schema:Book
91 N92de073baf6448d2959200c255b670cd rdf:first N1d49a8433d534b8c81d7427c05c0a7b8
92 rdf:rest N8257b24dfcc44f2dbcc41c0d8647a139
93 N9b94d105b96b4407ab55193a1850c408 rdf:first sg:person.012615331106.24
94 rdf:rest Nf75887c2863544ff9f0df16b42f0f309
95 Nbccfeff0e6e445808e6524ff01fc5bda rdf:first sg:person.010442752533.11
96 rdf:rest N9b94d105b96b4407ab55193a1850c408
97 Nbfd59ca39789422b9f3aabf6723fe700 rdf:first N208d0711ac264c56b4c6131dc20af64e
98 rdf:rest N92de073baf6448d2959200c255b670cd
99 Nf75887c2863544ff9f0df16b42f0f309 rdf:first sg:person.013572151715.45
100 rdf:rest rdf:nil
101 Nf77d51e150174f69859c9e3bc202e08a schema:familyName Jones
102 schema:givenName Gareth J. F.
103 rdf:type schema:Person
104 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
105 schema:name Psychology and Cognitive Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
108 schema:name Psychology
109 rdf:type schema:DefinedTerm
110 sg:person.010442752533.11 schema:affiliation https://www.grid.ac/institutes/grid.7177.6
111 schema:familyName van de Sande
112 schema:givenName Koen E. A.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010442752533.11
114 rdf:type schema:Person
115 sg:person.012615331106.24 schema:affiliation https://www.grid.ac/institutes/grid.7177.6
116 schema:familyName Gevers
117 schema:givenName Theo
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012615331106.24
119 rdf:type schema:Person
120 sg:person.013572151715.45 schema:affiliation https://www.grid.ac/institutes/grid.7177.6
121 schema:familyName Smeulders
122 schema:givenName Arnold W. M.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013572151715.45
124 rdf:type schema:Person
125 sg:pub.10.1007/978-1-4757-3264-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028478311
126 https://doi.org/10.1007/978-1-4757-3264-1
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/978-3-642-15751-6_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052874237
129 https://doi.org/10.1007/978-3-642-15751-6_10
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s10994-007-5018-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039556605
132 https://doi.org/10.1007/s10994-007-5018-6
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s11263-006-9794-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008205152
135 https://doi.org/10.1007/s11263-006-9794-4
136 rdf:type schema:CreativeWork
137 sg:pub.10.1023/a:1011126920638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046312359
138 https://doi.org/10.1023/a:1011126920638
139 rdf:type schema:CreativeWork
140 sg:pub.10.1023/b:visi.0000029664.99615.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052687286
141 https://doi.org/10.1023/b:visi.0000029664.99615.94
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.cviu.2008.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006546903
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1109/34.977559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061157343
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1109/cvpr.2005.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095244523
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1109/cvpr.2006.68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094512911
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1109/iccv.2005.66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093344916
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/tpami.2009.132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061743716
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/tpami.2009.154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061743736
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1145/1290082.1290094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020288975
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1145/1386352.1386376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043759849
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1145/1646396.1646405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033184760
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1561/0600000017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068000465
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1561/1500000014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068001280
166 rdf:type schema:CreativeWork
167 https://www.grid.ac/institutes/grid.7177.6 schema:alternateName University of Amsterdam
168 schema:name Intelligent Systems Lab Amsterdam, University of Amsterdam, The Netherlands
169 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...