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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
APWEB
2005
Springer
14 years 1 months ago
PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System
Complex structure and varying requirements increase the difficulties in developing domain specific Web Information Systems. People appeal to a smart tool to customize Web Informati...
Lv-an Tang, Hongyan Li, Zhiyong Pan, Shaohua Tan, ...
SAC
2005
ACM
14 years 1 months ago
Rearranging data objects for efficient and stable clustering
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
Gyesung Lee, Xindong Wu, Jinho Chon
CVPR
2009
IEEE
15 years 2 months ago
Vocabulary Hierarchy Optimization for Effective and Transferable Retrieval
Scalable image retrieval systems usually involve hierarchical quantization of local image descriptors, which produces a visual vocabulary for inverted indexing of images. Although ...
Rongrong Ji (Harbin Institute of Technology), Xing...
EGOV
2004
Springer
14 years 28 days ago
Software Acquisition Based on Business Models
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...
Peter Regner, Thomas Wiesinger, Josef Küng, R...