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DAC
1997
ACM
15 years 2 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
ICCV
2007
IEEE
15 years 11 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
BMCBI
2010
161views more  BMCBI 2010»
14 years 7 months ago
Application of Wavelet Packet Transform to detect genetic polymorphisms by the analysis of inter-Alu PCR patterns
Background: The analysis of Inter-Alu PCR patterns obtained from human genomic DNA samples is a promising technique for a simultaneous analysis of many genomic loci flanked by Alu...
Maurizio Cardelli, Matteo Nicoli, Armando Bazzani,...
AIPR
2002
IEEE
15 years 2 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
CIARP
2009
Springer
15 years 2 months ago
Neural Network Ensembles from Training Set Expansions
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Debrup Chakraborty