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» Segmentation Informed by Manifold Learning
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NAACL
2003
13 years 8 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
CVPR
2006
IEEE
14 years 1 months ago
Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping
Anatomical features on cortical surfaces are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists ...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
MICCAI
2009
Springer
14 years 8 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
ACCV
2006
Springer
14 years 1 months ago
A Local Basis Representation for Estimating Human Pose from Cluttered Images
Recovering the pose of a person from single images is a challenging problem. This paper discusses a bottom-up approach that uses local image features to estimate human upper body p...
Ankur Agarwal, Bill Triggs
CLEF
2008
Springer
13 years 9 months ago
Allomorfessor: Towards Unsupervised Morpheme Analysis
Many modern natural language processing applications would benefit from automatic morphological analysis of words, especially when dealing with morphologically rich languages. Con...
Oskar Kohonen, Sami Virpioja, Mikaela Klami