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CVPR
2008
IEEE
16 years 3 days 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 ...
ALT
2004
Springer
15 years 7 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 3 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
HICSS
2002
IEEE
87views Biometrics» more  HICSS 2002»
15 years 3 months ago
Using Enterprise Reference Models for Automated ISO 9000 Compliance Evaluation
A computational enterprise model representing key facets of an organization can be an effective tool. For example, a specific organization's quality management business proce...
Henry M. Kim, Mark S. Fox
ASPLOS
2006
ACM
15 years 1 months ago
Accurate and efficient regression modeling for microarchitectural performance and power prediction
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Benjamin C. Lee, David M. Brooks