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PAMI
1998
124views more  PAMI 1998»
15 years 4 months ago
Robust Adaptive Segmentation of Range Images
—We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of re...
Kil-Moo Lee, Peter Meer, Rae-Hong Park
BMVC
2010
15 years 3 months ago
Active 3D Segmentation through Fixation of Previously Unseen Objects
We present an approach for active segmentation based on integration of several cues. It serves as a framework for generation of object hypotheses of previously unseen objects in n...
Mårten Björkman, Danica Kragic
159
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ACL
2009
15 years 2 months ago
Query Segmentation Based on Eigenspace Similarity
Query segmentation is essential to query processing. It aims to tokenize query words into several semantic segments and help the search engine to improve the precision of retrieva...
Chao Zhang, Nan Sun, Xia Hu, Tingzhu Huang, Tat-Se...
153
Voted
CMIG
2010
125views more  CMIG 2010»
14 years 12 months ago
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
Automated segmentation and analysis of tree-like structures from 3D medical images are important for many medical applications, such as those dealing with blood vasculature or lun...
Ghassan Hamarneh, Preet Jassi
INTERSPEECH
2010
14 years 11 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen