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» A Framework for Exploring Categorical Data.
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
MM
2004
ACM
149views Multimedia» more  MM 2004»
15 years 3 months ago
Designing experiential environments for management of personal multimedia
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...
Rahul Singh, Rachel Knickmeyer, Punit Gupta, Rames...
108
Voted
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
13 years 8 days ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart
ICCV
2005
IEEE
15 years 11 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
ICDE
2009
IEEE
144views Database» more  ICDE 2009»
15 years 11 months ago
Reachability Indexes for Relational Keyword Search
Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Sp...
Alexander Markowetz, Yin Yang, Dimitris Papadias