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ICIP
2005
IEEE
14 years 10 months ago
Predictive compression of dynamic 3D meshes
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Aljoscha Smolic, Karsten Müller, Matthias Kau...
ICIP
2003
IEEE
14 years 10 months ago
Inverse halftoning by decision tree learning
Inverse halftoning is the process to retrieve a (gray) continuous-tone image from a halftone. Recently, machinelearning-based inverse halftoning techniques have been proposed. Dec...
Hae Yong Kim, Ricardo L. de Queiroz
ICML
2007
IEEE
14 years 9 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
ICML
2003
IEEE
14 years 9 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
DCC
2002
IEEE
14 years 8 months ago
Optimized Edgebreaker Encoding for Large and Regular Triangle Meshes
We present a technique designed aiming to improve the compression of the Edgebreaker CLERS string for large and regular meshes, where regularity is understood as the compactness o...
Andrzej Szymczak