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HRI
2006
ACM
15 years 11 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
138
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Sentence level emotion recognition based on decisions from subsentence segments
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
Je Hun Jeon, Rui Xia, Yang Liu
133
Voted
LREC
2010
237views Education» more  LREC 2010»
15 years 6 months ago
Flexible Ontology Population from Text: The OwlExporter
Ontology population from text is becoming increasingly important for NLP applications. Ontologies in OWL format provide for a standardized means of modeling, querying, and reasoni...
René Witte, Ninus Khamis, Juergen Rilling
CVPR
2009
IEEE
17 years 14 hour ago
Illumination and Spatially Varying Specular Reflectance from a Single View
Estimating the illumination and the reflectance properties of an object surface from a sparse set of images is an important but inherently ill-posed problem. The problem becomes...
Kenji Hara (Kyushu University), Ko Nishino (Drexel...
CVPR
2008
IEEE
16 years 7 months ago
A factorization approach to structure from motion with shape priors
This paper presents an approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which...
Alessio Del Bue