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CGF
2005
252views more  CGF 2005»
15 years 1 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
KI
2004
Springer
15 years 7 months ago
Shape-Based Robot Mapping
We present a novel geometric model for robot mapping suited for robots equipped with a laser range finder. The geometric representation is based on shape. Cyclic ordered sets of p...
Diedrich Wolter, Longin Jan Latecki, Rolf Lakä...
ECCV
2004
Springer
15 years 7 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
SIGIR
2009
ACM
15 years 8 months ago
Identifying the original contribution of a document via language modeling
Abstract. One major goal of text mining is to provide automatic methods to help humans grasp the key ideas in ever-increasing text corpora. To this effect, we propose a statistica...
Benyah Shaparenko, Thorsten Joachims
DKE
2007
82views more  DKE 2007»
15 years 1 months ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks