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ESCIENCE
2006
IEEE
14 years 3 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
14 years 3 months ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
WACV
2005
IEEE
14 years 3 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
MM
2005
ACM
143views Multimedia» more  MM 2005»
14 years 3 months ago
Hierarchical voting classification scheme for improving visual sign language recognition
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Wen Gao