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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
16 years 1 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
PAMI
2006
143views more  PAMI 2006»
15 years 6 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
FIMH
2007
Springer
16 years 1 months ago
Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart
This paper presents a first set of experiments to integrate a realistic electro-mechanical model of a beating heart into simulated real-time three-dimensional (RT3D) ultrasound da...
Qi Duan, Philippe Moireau, Elsa D. Angelini, Domin...
ICCAD
2007
IEEE
123views Hardware» more  ICCAD 2007»
16 years 3 months ago
Mapping model with inter-array memory sharing for multidimensional signal processing
Abstract – The storage requirements in data-intensive signal processing systems (including applications in video and image processing, artificial vision, medical imaging, real-t...
Ilie I. Luican, Hongwei Zhu, Florin Balasa
ISBRA
2009
Springer
16 years 1 months ago
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
Peter Larsen, Yang Dai