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» Estimation of Chaotic Probabilities
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NOLISP
2007
Springer
15 years 10 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 10 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
125
Voted
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
SIBGRAPI
2006
IEEE
15 years 10 months ago
Plausible Image Based Soft Shadows Using Occlusion Textures
This paper presents a novel image-based approach to render plausible soft shadows for complex dynamic scenes with rectangular light sources. The algorithm's performance is mo...
Elmar Eisemann, Xavier Décoret
SIBGRAPI
2006
IEEE
15 years 10 months ago
Increasing statistical power in medical image analysis
In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method ...
Alexei Manso Correa Machado