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AAAI
2011
14 years 6 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
WACV
2012
IEEE
14 years 2 months ago
CompactKdt: Compact signatures for accurate large scale object recognition
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...
Mohamed Aly, Mario E. Munich, Pietro Perona
MOBICOM
2012
ACM
13 years 9 months ago
Energy-based rate adaptation for 802.11n
Rate adaptation (RA) has been used to achieve high goodput. In this work, we explore to use RA for energy efficiency in 802.11n NICs. We show that current MIMO RA algorithms are ...
Chi-Yu Li, Chunyi Peng, Songwu Lu, Xinbing Wang
JMLR
2012
13 years 9 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
APPROX
2000
Springer
107views Algorithms» more  APPROX 2000»
15 years 11 months ago
Online real-time preemptive scheduling of jobs with deadlines
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preemptive scheduling of jobs with deadlines on K machines when jobs are characterized ...
Bhaskar DasGupta, Michael A. Palis