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» Incremental Criticality and Yield Gradients
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INTERSPEECH
2010
13 years 7 days ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
SIAMSC
2010
143views more  SIAMSC 2010»
13 years 3 months ago
Computing and Deflating Eigenvalues While Solving Multiple Right-Hand Side Linear Systems with an Application to Quantum Chromod
Abstract. We present a new algorithm that computes eigenvalues and eigenvectors of a Hermitian positive definite matrix while solving a linear system of equations with Conjugate G...
Andreas Stathopoulos, Konstantinos Orginos
DATE
2000
IEEE
169views Hardware» more  DATE 2000»
13 years 9 months ago
Transformational Placement and Synthesis
Novel methodology and algorithms to seamlessly integrate logic synthesis and physical placement through a transformational approach are presented. Contrary to most placement algor...
Wilm E. Donath, Prabhakar Kudva, Leon Stok, Paul V...
CVPR
2008
IEEE
14 years 7 months ago
Image selection for improved Multi-View Stereo
The Middlebury Multi-View Stereo evaluation [18] clearly shows that the quality and speed of most multi-view stereo algorithms depends significantly on the number and selection of...
Alexander Hornung, Boyi Zeng, Leif Kobbelt
ICDE
2000
IEEE
158views Database» more  ICDE 2000»
14 years 6 months ago
The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses
: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
Hans-Peter Kriegel, Jörn Kohlhammer, Martin E...