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PAMI
2011
15 years 1 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
CHI
2011
ACM
14 years 10 months ago
Comparing activity theory with distributed cognition for video analysis: beyond "kicking the tires"
The field of HCI is growing, not only in the variety of application areas or the volume of research conducted, but also in the number of analytical approaches for use in the evalu...
Eric P. S. Baumer, Bill Tomlinson
CIDR
2011
230views Algorithms» more  CIDR 2011»
14 years 10 months ago
Consistency Analysis in Bloom: a CALM and Collected Approach
Distributed programming has become a topic of widespread interest, and many programmers now wrestle with tradeoffs between data consistency, availability and latency. Distributed...
Peter Alvaro, Neil Conway, Joe Hellerstein, Willia...
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
13 years 9 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
AAAI
2012
13 years 9 months ago
A Multivariate Complexity Analysis of Lobbying in Multiple Referenda
We extend work by Christian et al. [Review of Economic Design 2007] on lobbying in multiple referenda by first providing a more fine-grained analysis of the computational comple...
Robert Bredereck, Jiehua Chen, Sepp Hartung, Rolf ...