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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 7 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
SISAP
2008
IEEE
130views Data Mining» more  SISAP 2008»
16 years 1 months ago
The Many Facets of Approximate Similarity Search
In this article, we review the major paradigms for approximate similarity queries and propose a classification schema that easily allows existing approaches to be compared along ...
Marco Patella, Paolo Ciaccia
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
16 years 10 days ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
KDD
1995
ACM
86views Data Mining» more  KDD 1995»
15 years 10 months ago
Knowledge Discovery from Multiple Databases
Knowledge discovery systemsfor databasesareemployedto provide valuable insights into characteristics and relationshipsthat may exist in the data,but are unknown to the user. This ...
James S. Ribeiro, Kenneth A. Kaufman, Larry Kersch...
IPPS
2003
IEEE
16 years 4 hour ago
Lazy Parallelization: A Finite State Machine Based Optimization Approach for Data Parallel Image Processing Applications
Performance obtained with existing library-based parallelization tools for implementing high performance image processing applications is often sub-optimal. This is because inter-...
Frank J. Seinstra, Dennis Koelma