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ICASSP
2009
IEEE
14 years 2 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
ECCV
2008
Springer
14 years 9 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...
NI
2011
168views more  NI 2011»
12 years 10 months ago
Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors
We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local...
Engin Türetken, Germán González...
JMLR
2012
11 years 10 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
CVPR
2004
IEEE
14 years 9 months ago
Globally Optimal Segmentation of Interacting Surfaces with Geometric Constraints
Abstract-- Efficient detection of globally optimal surfaces representing object boundaries in volumetric datasets is important and remains challenging in many medical image analysi...
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka