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» On the Random-Self-Reducibility of Complete Sets
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TIFS
2008
157views more  TIFS 2008»
15 years 6 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
15 years 8 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
AAAI
1994
15 years 8 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
KAIS
2008
114views more  KAIS 2008»
15 years 6 months ago
A new concise representation of frequent itemsets using generators and a positive border
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
Guimei Liu, Jinyan Li, Limsoon Wong
DBPL
1997
Springer
117views Database» more  DBPL 1997»
15 years 10 months ago
Degrees of Monotonicity of Spatial Transformations
We consider spatial databases that can be defined in terms of polynomial inequalities, and we are interested in monotonic transformations of spatial databases. We investigate a hi...
Bart Kuijpers