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BMVC
1998
13 years 10 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
PRL
2000
148views more  PRL 2000»
13 years 8 months ago
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
: In this study, we introduce a set of one-dimensional features to represent two dimensional shape information for HMM (Hidden Markov Model) based handwritten optical character rec...
Nafiz Arica, Fatos T. Yarman-Vural
PCM
2004
Springer
131views Multimedia» more  PCM 2004»
14 years 2 months ago
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM
Abstract. In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities o...
Liangguo Zhang, Gaolin Fang, Wen Gao, Xilin Chen, ...
ACL
1998
13 years 10 months ago
Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
Gina-Anne Levow
ICIP
2005
IEEE
14 years 10 months ago
Static human body postures recognition in video sequences using the belief theory
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
Alice Caplier, Laurent Bonnaud, Michèle Rom...