Facial Trait Code and Its Application to Face Recognition View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Ping-Han Lee , Gee-Sern Hsu , Tsuhan Chen , Yi-Ping Hung

ABSTRACT

We propose the Facial Trait Code (FTC) to encode human facial images. The proposed FTC is motivated by the discovery of the basic types of local facial features, called facial trait bases, which can be extracted from a large number of faces. In addition, the fusion of these facial trait bases can accurately capture the appearance of a face. Extraction of the facial trait bases involves clustering and boosting approaches, leading to the best discrimination of the human faces. The extracted facial trait bases are symbolized and make up the n-ary facial trait codes. A given face can be then encoded at the patches specified by the traits to render an n-ary facial trait code with each symbol in its codeword corresponding to the closest trait base. We applied FTC to a typical face identification problem, and it yielded satisfactory results under different illumination conditions. More... »

PAGES

317-328

Book

TITLE

Advances in Visual Computing

ISBN

978-3-540-89645-6
978-3-540-89646-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-89646-3_31

DOI

http://dx.doi.org/10.1007/978-3-540-89646-3_31

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009783112


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": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "National Taiwan University, ROC"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Ping-Han", 
        "id": "sg:person.011606554374.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011606554374.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "National Taiwan University of Science and Technology, ROC"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsu", 
        "givenName": "Gee-Sern", 
        "id": "sg:person.013375451033.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013375451033.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carnegie Mellon University", 
          "id": "https://www.grid.ac/institutes/grid.147455.6", 
          "name": [
            "Carnegie Mellon University, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Tsuhan", 
        "id": "sg:person.012245072625.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012245072625.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "National Taiwan University, ROC"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hung", 
        "givenName": "Yi-Ping", 
        "id": "sg:person.014375745016.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014375745016.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/b978-0-12-336156-1.50061-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003803373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/307400.307429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009123423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1162/jocn.1991.3.1.71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043225769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1077-3142(03)00073-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044160150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1077-3142(03)00073-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044160150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.598228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061156617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.990138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061157383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.2001.990517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093187020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cvpr.1994.323814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093418403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/afgr.2000.840634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093845642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/autoid.2005.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095536721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1613/jair.105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105538380"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008", 
    "datePublishedReg": "2008-01-01", 
    "description": "We propose the Facial Trait Code (FTC) to encode human facial images. The proposed FTC is motivated by the discovery of the basic types of local facial features, called facial trait bases, which can be extracted from a large number of faces. In addition, the fusion of these facial trait bases can accurately capture the appearance of a face. Extraction of the facial trait bases involves clustering and boosting approaches, leading to the best discrimination of the human faces. The extracted facial trait bases are symbolized and make up the n-ary facial trait codes. A given face can be then encoded at the patches specified by the traits to render an n-ary facial trait code with each symbol in its codeword corresponding to the closest trait base. We applied FTC to a typical face identification problem, and it yielded satisfactory results under different illumination conditions.", 
    "editor": [
      {
        "familyName": "Bebis", 
        "givenName": "George", 
        "type": "Person"
      }, 
      {
        "familyName": "Boyle", 
        "givenName": "Richard", 
        "type": "Person"
      }, 
      {
        "familyName": "Parvin", 
        "givenName": "Bahram", 
        "type": "Person"
      }, 
      {
        "familyName": "Koracin", 
        "givenName": "Darko", 
        "type": "Person"
      }, 
      {
        "familyName": "Remagnino", 
        "givenName": "Paolo", 
        "type": "Person"
      }, 
      {
        "familyName": "Porikli", 
        "givenName": "Fatih", 
        "type": "Person"
      }, 
      {
        "familyName": "Peters", 
        "givenName": "J\u00f6rg", 
        "type": "Person"
      }, 
      {
        "familyName": "Klosowski", 
        "givenName": "James", 
        "type": "Person"
      }, 
      {
        "familyName": "Arns", 
        "givenName": "Laura", 
        "type": "Person"
      }, 
      {
        "familyName": "Chun", 
        "givenName": "Yu Ka", 
        "type": "Person"
      }, 
      {
        "familyName": "Rhyne", 
        "givenName": "Theresa-Marie", 
        "type": "Person"
      }, 
      {
        "familyName": "Monroe", 
        "givenName": "Laura", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-89646-3_31", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-89645-6", 
        "978-3-540-89646-3"
      ], 
      "name": "Advances in Visual Computing", 
      "type": "Book"
    }, 
    "name": "Facial Trait Code and Its Application to Face Recognition", 
    "pagination": "317-328", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-89646-3_31"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2e9b394af429a4efbddc9d008ed59bf2da149af3d2d67ce5a471e14c2d3cb83f"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009783112"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-89646-3_31", 
      "https://app.dimensions.ai/details/publication/pub.1009783112"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T06:14", 
    "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/v90/0000000351_0000000351/records_43241_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-540-89646-3_31"
  }
]
 

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.10.1007/978-3-540-89646-3_31'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-89646-3_31'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-89646-3_31'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-89646-3_31'


 

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

179 TRIPLES      23 PREDICATES      38 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-89646-3_31 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Na6ff0a2928524ffeb83e8b59c4d9fc64
4 schema:citation https://doi.org/10.1016/b978-0-12-336156-1.50061-6
5 https://doi.org/10.1016/s1077-3142(03)00073-0
6 https://doi.org/10.1109/34.598228
7 https://doi.org/10.1109/34.990138
8 https://doi.org/10.1109/afgr.2000.840634
9 https://doi.org/10.1109/autoid.2005.22
10 https://doi.org/10.1109/cvpr.1994.323814
11 https://doi.org/10.1109/cvpr.2001.990517
12 https://doi.org/10.1145/307400.307429
13 https://doi.org/10.1162/jocn.1991.3.1.71
14 https://doi.org/10.1613/jair.105
15 schema:datePublished 2008
16 schema:datePublishedReg 2008-01-01
17 schema:description We propose the Facial Trait Code (FTC) to encode human facial images. The proposed FTC is motivated by the discovery of the basic types of local facial features, called facial trait bases, which can be extracted from a large number of faces. In addition, the fusion of these facial trait bases can accurately capture the appearance of a face. Extraction of the facial trait bases involves clustering and boosting approaches, leading to the best discrimination of the human faces. The extracted facial trait bases are symbolized and make up the n-ary facial trait codes. A given face can be then encoded at the patches specified by the traits to render an n-ary facial trait code with each symbol in its codeword corresponding to the closest trait base. We applied FTC to a typical face identification problem, and it yielded satisfactory results under different illumination conditions.
18 schema:editor Ndd6eef44f972478aae2423e3143f8fdf
19 schema:genre chapter
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N15a5887fa5af47dd81b49164439aec5f
23 schema:name Facial Trait Code and Its Application to Face Recognition
24 schema:pagination 317-328
25 schema:productId N3dd7440c25f2449082ab1de9cd21e246
26 Na015c498310a491491337fb0b5cf767b
27 Nad61ad7837ce4bb8ad3aa832395c9730
28 schema:publisher N0ac924416efc4ebe905670918142ebb4
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009783112
30 https://doi.org/10.1007/978-3-540-89646-3_31
31 schema:sdDatePublished 2019-04-16T06:14
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N1f2439bcd54443b495063872ca9d9fbf
34 schema:url https://link.springer.com/10.1007%2F978-3-540-89646-3_31
35 sgo:license sg:explorer/license/
36 sgo:sdDataset chapters
37 rdf:type schema:Chapter
38 N02f206c9ee09452c91066cecf41e1611 schema:familyName Rhyne
39 schema:givenName Theresa-Marie
40 rdf:type schema:Person
41 N0ac924416efc4ebe905670918142ebb4 schema:location Berlin, Heidelberg
42 schema:name Springer Berlin Heidelberg
43 rdf:type schema:Organisation
44 N0bc791abd12b49f895ce18e4ea88acb4 schema:familyName Klosowski
45 schema:givenName James
46 rdf:type schema:Person
47 N15a5887fa5af47dd81b49164439aec5f schema:isbn 978-3-540-89645-6
48 978-3-540-89646-3
49 schema:name Advances in Visual Computing
50 rdf:type schema:Book
51 N1f2439bcd54443b495063872ca9d9fbf schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N37e7cf7640ca408284ad06d6f8d5db75 rdf:first Nee7f07c60ed342d8af541828afe5150b
54 rdf:rest Na1a65607823d4739a8cc55efa242e0e1
55 N3a08ef0fc3b84d419ff8d99a5ce6b33b rdf:first N3cdce5358067452d84f1192244e08b31
56 rdf:rest Nc7f2869096214fdb937b2192736bdc6a
57 N3a65970de4af453fa23a267b2543ca5c schema:name National Taiwan University of Science and Technology, ROC
58 rdf:type schema:Organization
59 N3aeca421f5934e5ca225f0752770d9fb rdf:first sg:person.012245072625.31
60 rdf:rest Nec42f4c2322b491bbccf79dd210bd178
61 N3cdce5358067452d84f1192244e08b31 schema:familyName Parvin
62 schema:givenName Bahram
63 rdf:type schema:Person
64 N3dd7440c25f2449082ab1de9cd21e246 schema:name readcube_id
65 schema:value 2e9b394af429a4efbddc9d008ed59bf2da149af3d2d67ce5a471e14c2d3cb83f
66 rdf:type schema:PropertyValue
67 N3de6927ca4a5487ead4e985eb68a7e0f rdf:first sg:person.013375451033.82
68 rdf:rest N3aeca421f5934e5ca225f0752770d9fb
69 N492134f86922467cbd70ca14c6fb4b37 rdf:first N7a45a305069c4873b4bc95b4c90ae705
70 rdf:rest Nae6995fb33b247449e124aeca8c8abbe
71 N572cddfd55754a9784f71c7b594df49e schema:familyName Chun
72 schema:givenName Yu Ka
73 rdf:type schema:Person
74 N6fe391d706eb4d4f813b561a775d51f8 rdf:first N02f206c9ee09452c91066cecf41e1611
75 rdf:rest Nf5ae1c65cbd64bacb40cc46b88cca6b9
76 N7a45a305069c4873b4bc95b4c90ae705 schema:familyName Remagnino
77 schema:givenName Paolo
78 rdf:type schema:Person
79 N9f4d7a7d2f1446beb25636d172d74498 schema:familyName Monroe
80 schema:givenName Laura
81 rdf:type schema:Person
82 Na015c498310a491491337fb0b5cf767b schema:name dimensions_id
83 schema:value pub.1009783112
84 rdf:type schema:PropertyValue
85 Na1a65607823d4739a8cc55efa242e0e1 rdf:first N0bc791abd12b49f895ce18e4ea88acb4
86 rdf:rest Nf69fea56bb4b46ceaebde6540719d4b2
87 Na6ff0a2928524ffeb83e8b59c4d9fc64 rdf:first sg:person.011606554374.30
88 rdf:rest N3de6927ca4a5487ead4e985eb68a7e0f
89 Nad61ad7837ce4bb8ad3aa832395c9730 schema:name doi
90 schema:value 10.1007/978-3-540-89646-3_31
91 rdf:type schema:PropertyValue
92 Nae6995fb33b247449e124aeca8c8abbe rdf:first Nf20544332a6e474295ba35e4761868ed
93 rdf:rest N37e7cf7640ca408284ad06d6f8d5db75
94 Nb592e667e5144f40a433b9c65541e0f0 rdf:first N572cddfd55754a9784f71c7b594df49e
95 rdf:rest N6fe391d706eb4d4f813b561a775d51f8
96 Nb8ef2abceb72483aaa65dbc36cdcb6f0 schema:familyName Koracin
97 schema:givenName Darko
98 rdf:type schema:Person
99 Nc7f2869096214fdb937b2192736bdc6a rdf:first Nb8ef2abceb72483aaa65dbc36cdcb6f0
100 rdf:rest N492134f86922467cbd70ca14c6fb4b37
101 Ncafb5067a5194cc09dfd0f650be97276 schema:familyName Arns
102 schema:givenName Laura
103 rdf:type schema:Person
104 Nd0bd85d1569d43aebd13aab3a758f2c1 rdf:first Nff214cbee51d46b38f7e9bc099376c79
105 rdf:rest N3a08ef0fc3b84d419ff8d99a5ce6b33b
106 Ndd6eef44f972478aae2423e3143f8fdf rdf:first Nf2d2009b3c5541cba900d592f2d13509
107 rdf:rest Nd0bd85d1569d43aebd13aab3a758f2c1
108 Nec42f4c2322b491bbccf79dd210bd178 rdf:first sg:person.014375745016.34
109 rdf:rest rdf:nil
110 Nee7f07c60ed342d8af541828afe5150b schema:familyName Peters
111 schema:givenName Jörg
112 rdf:type schema:Person
113 Nf20544332a6e474295ba35e4761868ed schema:familyName Porikli
114 schema:givenName Fatih
115 rdf:type schema:Person
116 Nf2d2009b3c5541cba900d592f2d13509 schema:familyName Bebis
117 schema:givenName George
118 rdf:type schema:Person
119 Nf5ae1c65cbd64bacb40cc46b88cca6b9 rdf:first N9f4d7a7d2f1446beb25636d172d74498
120 rdf:rest rdf:nil
121 Nf69fea56bb4b46ceaebde6540719d4b2 rdf:first Ncafb5067a5194cc09dfd0f650be97276
122 rdf:rest Nb592e667e5144f40a433b9c65541e0f0
123 Nff214cbee51d46b38f7e9bc099376c79 schema:familyName Boyle
124 schema:givenName Richard
125 rdf:type schema:Person
126 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
127 schema:name Psychology and Cognitive Sciences
128 rdf:type schema:DefinedTerm
129 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
130 schema:name Psychology
131 rdf:type schema:DefinedTerm
132 sg:person.011606554374.30 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
133 schema:familyName Lee
134 schema:givenName Ping-Han
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011606554374.30
136 rdf:type schema:Person
137 sg:person.012245072625.31 schema:affiliation https://www.grid.ac/institutes/grid.147455.6
138 schema:familyName Chen
139 schema:givenName Tsuhan
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012245072625.31
141 rdf:type schema:Person
142 sg:person.013375451033.82 schema:affiliation N3a65970de4af453fa23a267b2543ca5c
143 schema:familyName Hsu
144 schema:givenName Gee-Sern
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013375451033.82
146 rdf:type schema:Person
147 sg:person.014375745016.34 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
148 schema:familyName Hung
149 schema:givenName Yi-Ping
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014375745016.34
151 rdf:type schema:Person
152 https://doi.org/10.1016/b978-0-12-336156-1.50061-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003803373
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s1077-3142(03)00073-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044160150
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1109/34.598228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061156617
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1109/34.990138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061157383
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1109/afgr.2000.840634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093845642
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1109/autoid.2005.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095536721
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1109/cvpr.1994.323814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093418403
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1109/cvpr.2001.990517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093187020
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1145/307400.307429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009123423
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1162/jocn.1991.3.1.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043225769
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1613/jair.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105538380
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.147455.6 schema:alternateName Carnegie Mellon University
175 schema:name Carnegie Mellon University, USA
176 rdf:type schema:Organization
177 https://www.grid.ac/institutes/grid.19188.39 schema:alternateName National Taiwan University
178 schema:name National Taiwan University, ROC
179 rdf:type schema:Organization
 




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


...