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» Robust Estimators under the Imprecise Dirichlet Model
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CLEF
2007
Springer
14 years 1 months ago
A Dirichlet-Smoothed Bigram Model for Retrieving Spontaneous Speech
We present two simple but effective smoothing techniqes for the standard language model (LM) approach to information retrieval [12]. First, we extend the unigram Dirichlet smoothi...
Matthew Lease, Eugene Charniak
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Power Efficient Motion Estimation using Multiple Imprecise Metric Computations
In this paper, we propose power efficient motion estimation (ME) using multiple imprecise sum absolute difference (SAD) metric computations. We extend recent work in [18] by prov...
In Suk Chong, Antonio Ortega
SIGIR
2003
ACM
14 years 25 days ago
On an equivalence between PLSI and LDA
Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Index...
Mark Girolami, Ata Kabán
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 5 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
ACL
2010
13 years 5 months ago
A Bayesian Method for Robust Estimation of Distributional Similarities
Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
Jun'ichi Kazama, Stijn De Saeger, Kow Kuroda, Masa...