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» Finding low-utility data structures
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ICML
2010
IEEE
13 years 9 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
SIGMOD
2007
ACM
111views Database» more  SIGMOD 2007»
14 years 9 months ago
Query relaxation using malleable schemas
In contrast to classical databases and IR systems, real-world information systems have to deal increasingly with very vague and diverse structures for information management and s...
Xuan Zhou, Julien Gaugaz, Wolf-Tilo Balke, Wolfgan...
ICML
2010
IEEE
13 years 9 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
ASUNAM
2010
IEEE
13 years 10 months ago
Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion
Abstract--As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms hav...
Aaron McDaid, Neil Hurley
ICSE
1997
IEEE-ACM
14 years 27 days ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson