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ISVC
2009
Springer
16 years 1 months ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
ICCAD
1999
IEEE
99views Hardware» more  ICCAD 1999»
15 years 11 months ago
FunState - an internal design representation for codesign
In this paper, an internal design model called FunState (functions driven by state machines) is presented that enables the representation of different types of system components a...
Lothar Thiele, Karsten Strehl, Dirk Ziegenbein, Ro...
NIPS
2007
15 years 8 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner
CANDC
2000
ACM
15 years 6 months ago
Sequence Complexity for Biological Sequence Analysis
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instance...
Lloyd Allison, Linda Stern, Timothy Edgoose, Trevo...
ICASSP
2011
IEEE
14 years 10 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...