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AAAI
2011
12 years 4 months ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
JSA
2006
97views more  JSA 2006»
13 years 4 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
ICIP
2007
IEEE
13 years 11 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
DAGM
2004
Springer
13 years 10 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange
HICSS
2007
IEEE
183views Biometrics» more  HICSS 2007»
13 years 11 months ago
Rescuing Small and Medium-Sized Enterprises from Inefficient Information Systems - A Multi-disciplinary Method for ERP System Re
Enterprise resource planning (ERP) systems integrate companies’ multiple information systems and help adapt best practices for business processes. ERP systems are in most cases ...
Inka Vilpola, Ilkka Kouri, Kaisa Vään&au...