David Guillamet

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▷ joint publications with Jordi Vitrià

> Home > Persons > David Guillamet

Publications

2004
[j4]
- view
  authority control:
- export record
  dblp key:
  - journals/cas/BressanGV04
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cas/BressanGV04
Marco Bressan, David Guillamet, Jordi Vitrià:
Multiclass Object Recognition Using Class-Conditional Independent Component Analysis. Cybern. Syst. 35(1): 35-61 (2004)
2003
[j3]
- view
  authority control:
- export record
  dblp key:
  - journals/pr/BressanGV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pr/BressanGV03
Marco Bressan, David Guillamet, Jordi Vitrià:
Using an ICA representation of local color histograms for object recognition. Pattern Recognit. 36(3): 691-701 (2003)
[j2]
- view
  authority control:
- export record
  dblp key:
  - journals/prl/GuillametV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/prl/GuillametV03
David Guillamet, Jordi Vitrià:
Evaluation of distance metrics for recognition based on non-negative matrix factorization. Pattern Recognit. Lett. 24(9-10): 1599-1605 (2003)
[j1]
- view
  authority control:
- export record
  dblp key:
  - journals/prl/GuillametVS03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/prl/GuillametVS03
David Guillamet, Jordi Vitrià, Bernt Schiele:
Introducing a weighted non-negative matrix factorization for image classification. Pattern Recognit. Lett. 24(14): 2447-2454 (2003)
[c14]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/MoghaddamGV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/MoghaddamGV03
Baback Moghaddam, David Guillamet, Jordi Vitrià:
Local Appearance-Based Models using High-Order Statistics of Image Features. CVPR (1) 2003: 729-735
[c13]
- view
  authority control:
- export record
  dblp key:
  - conf/ibpria/GuillametMV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ibpria/GuillametMV03
David Guillamet, Baback Moghaddam, Jordi Vitrià:
Modeling High-Order Dependencies in Local Appearance Models. IbPRIA 2003: 308-316
[c12]
- view
  authority control:
- export record
  dblp key:
  - conf/ibpria/GuillametV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ibpria/GuillametV03
David Guillamet, Jordi Vitrià:
An Experimental Evaluation of K-nn for Linear Transforms of Positive Data. IbPRIA 2003: 317-325
[c11]
- view
  authority control:
- export record
  dblp key:
  - conf/icip/GuillametMV03
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icip/GuillametMV03
David Guillamet, Baback Moghaddam, Jordi Vitrià:
Higher-order dependencies in local appearance models. ICIP (1) 2003: 213-216
2002
[c10]
- view
  authority control:
- export record
  dblp key:
  - conf/ccia/GuillametV02
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccia/GuillametV02
David Guillamet, Jordi Vitrià:
Non-negative Matrix Factorization for Face Recognition. CCIA 2002: 336-344
[c9]
- view
  authority control:
- export record
  dblp key:
  - conf/icpr/GuillametSV02
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpr/GuillametSV02
David Guillamet, Bernt Schiele, Jordi Vitrià:
Analyzing Non-Negative Matrix Factorization for Image Classification. ICPR (2) 2002: 116-119
[c8]
- view
  authority control:
- export record
  dblp key:
  - conf/icpr/GuillametV02
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpr/GuillametV02
David Guillamet, Jordi Vitrià:
Determining a Suitable Metric when Using Non-Negative Matrix Factorization. ICPR (2) 2002: 128-131
2001
[c6]
- view
  authority control:
- export record
  dblp key:
  - conf/caip/GuillametV01
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/caip/GuillametV01
David Guillamet, Jordi Vitrià:
Unsupervised Learning of Part-Based Representations. CAIP 2001: 700-708
[c5]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/GuillametBV01
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/GuillametBV01
David Guillamet, Marco Bressan, Jordi Vitrià:
A Weighted Non-Negative Matrix Factorization for Local Representations. CVPR (1) 2001: 942-947
[c4]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/BressanGV01
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/BressanGV01
Marco Bressan, David Guillamet, Jordi Vitrià:
Using an ICA Representation of High Dimensional Data for Object Recognition and Classification. CVPR (1) 2001: 1004-1009
[c3]
- view
  authority control:
- export record
  dblp key:
  - conf/iciap/GuillametV01
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iciap/GuillametV01
David Guillamet, Jordi Vitrià:
Discriminant Basis for Object Classification. ICIAP 2001: 256-261
2000
[c2]
- view
  authority control:
- export record
  dblp key:
  - conf/icpr/GuillametV00
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpr/GuillametV00
David Guillamet, Jordi Vitrià:
A Comparison of Global versus Local Color Histograms for Object Recognition. ICPR 2000: 2422-2425
[c1]
- view
  authority control:
- export record
  dblp key:
  - conf/sspr/GuillametV00
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sspr/GuillametV00
David Guillamet, Jordi Vitrià:
Local Discriminant Regions Using Support Vector Machines for Object Recognition. SSPR/SPR 2000: 550-559

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.