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» Multiple Instance Regression
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WWW
2007
ACM
14 years 8 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
KDD
2002
ACM
93views Data Mining» more  KDD 2002»
14 years 8 months ago
Interactive deduplication using active learning
Deduplication is a key operation in integrating data from multiple sources. The main challenge in this task is designing a function that can resolve when a pair of records refer t...
Sunita Sarawagi, Anuradha Bhamidipaty
ICCD
2005
IEEE
114views Hardware» more  ICCD 2005»
14 years 4 months ago
Memory Bank Predictors
Cache memories are commonly implemented through multiple memory banks to improve bandwidth and latency. The early knowledge of the data cache bank that an instruction will access ...
Stefan Bieschewski, Joan-Manuel Parcerisa, Antonio...
CVPR
2010
IEEE
14 years 3 months ago
CRAM: Compact Representation of Actions in Movies
Thousands of hours of video are recorded every second across the world. Due to the fact that searching for a particular event of interest within hours of video is time consuming, ...
Mikel Rodriguez
CHI
2010
ACM
14 years 2 months ago
Designing with interactive example galleries
Designers often use examples for inspiration; examples offer contextualized instances of how form and content integrate. Can interactive example galleries bring this practice to e...
Brian Lee, Savil Srivastava, Ranjitha Kumar, Ronen...