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» Adaptive Segmentation of MRI Data
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ICASSP
2010
IEEE
13 years 8 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
TIP
2008
85views more  TIP 2008»
13 years 7 months ago
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation
This paper presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed ...
Jundi Ding, RuNing Ma, Songcan Chen
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
14 years 2 months ago
Region Sampling: Continuous Adaptive Sampling on Sensor Networks
Abstract— Satisfying energy constraints while meeting performance requirements is a primary concern when a sensor network is being deployed. Many recent proposed techniques offer...
Song Lin, Benjamin Arai, Dimitrios Gunopulos, Gaut...
ICASSP
2008
IEEE
14 years 2 months ago
Blind source separation in a distributed microphone meeting environment for improved teleconferencing
From an audio perspective, the present state of teleconferencing technology leaves something to be desired; speaker overlap is one of the causes of this inadequate performance. To...
Jacek P. Dmochowski, Zicheng Liu, Philip A. Chou
DAGM
2010
Springer
13 years 9 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter