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ICCV
1998
IEEE
16 years 9 months ago
Optical Flow Estimation Using Wavelet Motion Model
A motion estimation algorithm using wavelet approximation as an optical ow model has been developed to estimate accurate dense optical ow from an image sequence. This wavelet moti...
Yu-Te Wu, Takeo Kanade, Jeffrey F. Cohn, Ching-Chu...
ENC
2004
IEEE
15 years 10 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
ISMB
1994
15 years 8 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
CVPR
2010
IEEE
16 years 2 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon
IWCMC
2006
ACM
16 years 29 days ago
Modeling key agreement in multi-hop ad hoc networks
Securing multicast communications in ad hoc networks has become one of the most challenging research directions in the areas of wireless networking and security. This is especiall...
Giovanni Di Crescenzo, Maria Striki, John S. Baras