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» Input Modeling Using Quantile Statistical Methods
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CVPR
2005
IEEE
13 years 9 months ago
Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable M
Understanding and modifying the effects of arbitrary illumination on human faces in a realistic manner is a challenging problem both for face synthesis and recognition. Recent res...
Lei Zhang 0002, Sen Wang, Dimitris Samaras
EURODAC
1994
IEEE
209views VHDL» more  EURODAC 1994»
13 years 12 months ago
MOS VLSI circuit simulation by hardware accelerator using semi-natural models
- The accelerator is destined to circuit-level simulation of digital and analog/digital MOS VLSI'c containing of up to 100 thousand transistors (with 16 Mb RAM host-machine). ...
Victor V. Denisenko
AIME
2007
Springer
14 years 1 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...
TASLP
2010
102views more  TASLP 2010»
13 years 6 months ago
Representing Musical Sounds With an Interpolating State Model
—A computationally efficient algorithm is proposed for modeling and representing time-varying musical sounds. The aim is to encode individual sounds and not the statistical prop...
Anssi Klapuri, Tuomas Virtanen
BMCBI
2005
141views more  BMCBI 2005»
13 years 7 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...