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» The Spectral Method for General Mixture Models
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NIPS
2003
13 years 9 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
CIVR
2010
Springer
187views Image Analysis» more  CIVR 2010»
14 years 17 days ago
Mixture model based contextual image retrieval
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...
Xing Xing, Yi Zhang, Bo Gong
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 8 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
14 years 8 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
AAAI
2010
13 years 5 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen