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» Hierarchical Mixture Models for Nested Data Structures
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145
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SPAA
2010
ACM
15 years 7 months ago
Implementing and evaluating nested parallel transactions in software transactional memory
Transactional Memory (TM) is a promising technique that simplifies parallel programming for shared-memory applications. To date, most TM systems have been designed to efficientl...
Woongki Baek, Nathan Grasso Bronson, Christos Kozy...
ICPR
2006
IEEE
16 years 4 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
ICDAR
2009
IEEE
15 years 9 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
115
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HYBRID
2001
Springer
15 years 7 months ago
Assume-Guarantee Reasoning for Hierarchical Hybrid Systems
Abstract. The assume-guarantee paradigm is a powerful divide-andconquer mechanism for decomposing a veri cation task about a system into subtasks about the individual components of...
Thomas A. Henzinger, Marius Minea, Vinayak S. Prab...
ICML
2005
IEEE
16 years 3 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani