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DCC
2009
IEEE
15 years 10 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
SIGMOD
2009
ACM
120views Database» more  SIGMOD 2009»
15 years 10 months ago
Kernel-based skyline cardinality estimation
The skyline of a d-dimensional dataset consists of all points not dominated by others. The incorporation of the skyline operator into practical database systems necessitates an ef...
Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papa...
WWW
2010
ACM
15 years 4 months ago
Malicious interface design: exploiting the user
In an ideal world, interface design is the art and science of helping users accomplish tasks in a timely, efficient, and pleasurable manner. This paper studies the inverse situati...
Gregory J. Conti, Edward Sobiesk
ISVC
2007
Springer
15 years 4 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
SCALESPACE
2007
Springer
15 years 3 months ago
Faithful Recovery of Vector Valued Functions from Incomplete Data
On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ov...
Massimo Fornasier