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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
CVPR
2006
IEEE
14 years 9 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
HPCA
2009
IEEE
14 years 8 months ago
Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
Lide Duan, Bin Li, Lu Peng
HPCA
2006
IEEE
14 years 8 months ago
BulletProof: a defect-tolerant CMP switch architecture
As silicon technologies move into the nanometer regime, transistor reliability is expected to wane as devices become subject to extreme process variation, particle-induced transie...
Kypros Constantinides, Stephen Plaza, Jason A. Blo...
ICALP
2009
Springer
14 years 7 months ago
Annotations in Data Streams
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database...
Amit Chakrabarti, Graham Cormode, Andrew McGregor