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» A New Constraint for Mining Sets in Sequences.
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EMMCVPR
2005
Springer
14 years 1 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 1 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
ECCV
2004
Springer
14 years 9 months ago
A Closed-Form Solution to Non-rigid Shape and Motion Recovery
Recovery of three dimensional (3D) shape and motion of non-static scenes from a monocular video sequence is important for applications like robot navigation and human computer inte...
Jing Xiao, Jinxiang Chai, Takeo Kanade
TIT
2002
107views more  TIT 2002»
13 years 7 months ago
Constrained systems with unconstrained positions
We develop methods for analyzing and constructing combined modulation/error-correctiong codes (ECC codes), in particular codes that employ some form of reversed concatenation and w...
Jorge Campello de Souza, Brian H. Marcus, Richard ...
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
14 years 1 months ago
A low power merge cell processor for real-time spike sorting in implantable neural prostheses
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
M. D. Linderman, T. H. Meng