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» Discriminative Clustering via Generative Feature Mapping
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
PCM
2009
Springer
198views Multimedia» more  PCM 2009»
14 years 2 months ago
Concept-Specific Visual Vocabulary Construction for Object Categorization
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
Chunjie Zhang, Jing Liu, Yi Ouyang, Hanqing Lu, So...
CVPR
2008
IEEE
14 years 9 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
ICPR
2006
IEEE
14 years 8 months ago
Incremental Vehicle 3-D Modeling from Video
In this paper, we present a new model-based approach for building 3-D models of vehicles from color video provided by a traffic surveillance camera. We incrementally build 3D mode...
Bir Bhanu, Nirmalya Ghosh
SGP
2004
13 years 10 months ago
Parameterization of Triangle Meshes over Quadrilateral Domains
We present a method for parameterizing irregularly triangulated input models over polyhedral domains with quadrilateral faces. A combination of center-based clustering techniques ...
Ioana M. Boier-Martin, Holly E. Rushmeier, Jingyi ...