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CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 5 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
ICNC
2005
Springer
15 years 11 months ago
A Time-Series Decomposed Model of Network Traffic
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
Guang Cheng, Jian Gong, Wei Ding 0001
ICCV
2009
IEEE
16 years 10 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
ACSC
2007
IEEE
16 years 5 days ago
Domination Normal Form - Decomposing Relational Database Schemas
A common approach in designing relational databases is to start with a universal relation schema, which is then decomposed into multiple subschemas. A good choice of subschemas ca...
Henning Köhler
GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
15 years 12 months ago
Empirical analysis of ideal recombination on random decomposable problems
This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifical...
Kumara Sastry, Martin Pelikan, David E. Goldberg