Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Ambiguity modeling in latent spaces
Show others and affiliations
2008 (English)In: MACHINE LEARNING FOR MULTIMODAL INTERACTION, PROCEEDINGS / [ed] PopescuBelis, A; Stiefelhagen, R, BERLIN: SPRINGER-VERLAG BERLIN , 2008, 62-73 p.Conference paper, Published paper (Refereed)
Abstract [en]

We are interested in the situation where we have two or more representations of an underlying phenomenon. In particular we are interested in the scenario where the representation Lire complementary. This implies that a single individual representation is not sufficient to fully discriminate a specific instance of the underlying phenomenon, it also means that each representation is an ambiguous representation of the other complementary spaces. In this paper we present a latent variable model capable of consolidating multiple complementary representations. Our method extends canonical correlation analysis by introducing additional latent spaces that Lire specific to the different representations, thereby explaining the full variance of the observations. These additional spaces, explaining representation specific variance, separately model the variance in a representation ambiguous to the other. We develop a spectral algorithm for fast computation of the embeddings and a probabilistic model (based on Gaussian processes) for validation and inference. The proposed model has several potential application areas, we demonstrate its use for multi-modal regression on a benchmark human pose estimation data set.

Place, publisher, year, edition, pages
BERLIN: SPRINGER-VERLAG BERLIN , 2008. 62-73 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keyword [en]
VARIABLE MODELS, HUMAN POSE
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-50656ISI: 000259923700006OAI: oai:DiVA.org:kth-50656DiVA: diva2:462375
Conference
5th International Workshop on Machine Learning for Multimodal Interaction. Utrecht, NETHERLANDS. SEP 08-10, 2008
Note

QC 20111208

Available from: 2011-12-07 Created: 2011-12-07 Last updated: 2017-06-09Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ek, Carl Henrik
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 29 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf