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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 8 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
15 years 8 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
MAMMO
2010
Springer
15 years 8 months ago
Three Digital Mammography Display Configurations: Observer Performance in a Pilot ROC Study
The purpose of this study was to determine if displays that provide more grayscale levels (10bit vs. 8bit) can improve observer performance in breast cancer detection. The study wa...
László K. Tabár, Alfredo S. N...
IPSN
2010
Springer
15 years 8 months ago
Hibernets: energy-efficient sensor networks using analog signal processing
In-network processing is recommended for many sensor network applications to reduce communication and improve energy efficiency. However, constraints on memory, speed, and energy ...
Brandon Rumberg, David W. Graham, Vinod Kulathuman...
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MCS
2010
Springer
15 years 8 months ago
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. S...
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