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» Using hidden Markov models and wavelets for face recognition
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PERCOM
2003
ACM
14 years 25 days ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
ACL
1997
13 years 9 months ago
A Structured Language Model
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
Ciprian Chelba
ICPR
2008
IEEE
14 years 2 months ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
FCCM
2002
IEEE
114views VLSI» more  FCCM 2002»
14 years 15 days ago
Implementing a Simple Continuous Speech Recognition System on an FPGA
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. W...
Stephen J. Melnikoff, Steven F. Quigley, Martin J....
FGR
2008
IEEE
175views Biometrics» more  FGR 2008»
14 years 2 months ago
Real-time 3D pointing gesture recognition in mobile space
In this paper, we present a real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture reco...
Chang-Beom Park, Myung-Cheol Roh, Seong-Whan Lee