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» Active Hidden Markov Models for Information Extraction
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PERCOM
2003
ACM
15 years 3 months 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...
ACII
2007
Springer
15 years 4 months ago
SuperDreamCity: An Immersive Virtual Reality Experience That Responds to Electrodermal Activity
In this paper we describe an artistic exhibition that took place in our highly-immersive virtual-reality laboratory. We have allowed visitors to explore a virtual landscape based o...
Doron Friedman, Kana Suji, Mel Slater
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 3 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz
SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
15 years 10 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu
ICIP
2006
IEEE
15 years 11 months ago
Detecting Occlusion for Hidden Markov Modeled Shapes
In this paper, we present a novel occlusion detection scheme for hidden Markov modeled shapes. First, hidden Markov model (HMM) is built using multiple examples of the shape. A re...
Ninad Thakoor, Sungyong Jung, Jean Gao