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ICIP
1998
IEEE
15 years 11 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
ICPR
2008
IEEE
15 years 11 months ago
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition
In this work we evaluate a recently published vector quantization scheme, which has been developed to handle binary features like the pressure feature occurring in on-line handwri...
Gerhard Rigoll, Joachim Schenk
ICPR
2008
IEEE
15 years 11 months ago
HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...
Albert Y. C. Chen, Jason J. Corso, Le Wang
ICPR
2006
IEEE
15 years 11 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
ICPR
2004
IEEE
15 years 11 months ago
Off-line Handwriting Identification Using HMM Based Recognizers
In this paper, an off-line, text independent system for writer identification using Hidden Markov Model (HMM) based recognizers is described. For each writer we build an individua...
Andreas Schlapbach, Horst Bunke