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SOCIALCOM
2010
13 years 6 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
FAST
2009
13 years 6 months ago
WorkOut: I/O Workload Outsourcing for Boosting RAID Reconstruction Performance
User I/O intensity can significantly impact the performance of on-line RAID reconstruction due to contention for the shared disk bandwidth. Based on this observation, this paper p...
Suzhen Wu, Hong Jiang, Dan Feng, Lei Tian, Bo Mao
AVBPA
2005
Springer
256views Biometrics» more  AVBPA 2005»
14 years 2 months ago
Modification of Intersession Variability in On-Line Signature Verifier
For Pen-input on-line signature verification algorithms, the influence of intersession variability is a considerable problem because hand-written signatures change with time, causi...
Yasunori Hongo, Daigo Muramatsu, Takashi Matsumoto
CVPR
2007
IEEE
14 years 10 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof
NIPS
2008
13 years 10 months ago
Online Metric Learning and Fast Similarity Search
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kr...