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CORR
2010
Springer
146views Education» more  CORR 2010»
15 years 3 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
IJFCS
2008
63views more  IJFCS 2008»
15 years 3 months ago
How to Synchronize the Activity of All Components of a P System?
We consider the problem of synchronizing the activity of all the membranes of a P system. After pointing at the connection with a similar problem dealt with in the field of cellul...
Francesco Bernardini, Marian Gheorghe, Maurice Mar...
ICCV
2001
IEEE
16 years 5 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
15 years 9 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
ICIP
2006
IEEE
16 years 5 months ago
Summarization and Indexing of Human Activity Sequences
In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity chan...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury