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SPEECH
2008
124views more  SPEECH 2008»
15 years 1 months ago
Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model
In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping and an acoustic-to-articulatory inversion mapping without using phonetic information....
Tomoki Toda, Alan W. Black, Keiichi Tokuda
DEBU
2006
163views more  DEBU 2006»
15 years 1 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 8 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
SIGGRAPH
1997
ACM
15 years 5 months ago
Object shape and reflectance modeling from observation
An object model for computer graphics applications should contain two aspects of information: shape and reflectance properties of the object. A number of techniques have been deve...
Yoichi Sato, Mark D. Wheeler, Katsushi Ikeuchi
IJON
2007
166views more  IJON 2007»
15 years 1 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi