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» A selective sampling approach to active feature selection
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CVPR
2008
IEEE
15 years 12 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
ICPR
2004
IEEE
15 years 11 months ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 3 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
INFOCOM
2009
IEEE
15 years 4 months ago
Isolating Physical PER for Smart Rate Selection in 802.11
—Current rate control (selection) algorithms in IEEE 802.11 are not based on accurate measurements of packet errors caused at the physical layer. Instead, algorithms act on measu...
Malik Ahmad Yar Khan, Darryl Veitch
CSDA
2004
81views more  CSDA 2004»
14 years 9 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih