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BMCBI
2006
112views more  BMCBI 2006»
15 years 3 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
APVIS
2010
15 years 4 months ago
Visualizing field-measured seismic data
This paper presents visualization of field-measured, time-varying multidimensional earthquake accelerograph readings. Direct volume rendering is used to depict the space-time rela...
Tung-Ju Hsieh, Cheng-Kai Chen, Kwan-Liu Ma
123
Voted
ICIP
2007
IEEE
16 years 5 months ago
Isomap Tracking with Particle Filtering
The problem of tracking involves challenges like in-plane and out-of-plane rotations, scaling, variations in ambient light and occlusions. In this paper we look at the problem of ...
Nikhil Rane, Stanley T. Birchfield
144
Voted
FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
15 years 7 months ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
NAACL
2003
15 years 4 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz