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» Prediction on Spike Data Using Kernel Algorithms
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CIKM
2011
Springer
12 years 9 months ago
Probabilistic near-duplicate detection using simhash
This paper offers a novel look at using a dimensionalityreduction technique called simhash [8] to detect similar document pairs in large-scale collections. We show that this algo...
Sadhan Sood, Dmitri Loguinov
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
14 years 9 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
DAGSTUHL
2004
13 years 10 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
PAMI
2012
11 years 11 months ago
Image Signature: Highlighting Sparse Salient Regions
—We introduce a simple image descriptor referred to as the image signature. We show, within the theoretical framework of sparse signal mixing, that this quantity spatially approx...
Xiaodi Hou, Jonathan Harel, Christof Koch
JMLR
2002
138views more  JMLR 2002»
13 years 9 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...