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» Document Classification Using a Finite Mixture Model
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ICML
2005
IEEE
16 years 19 days ago
Modeling word burstiness using the Dirichlet distribution
Multinomial distributions are often used to model text documents. However, they do not capture well the phenomenon that words in a document tend to appear in bursts: if a word app...
Rasmus Elsborg Madsen, David Kauchak, Charles Elka...
ICASSP
2010
IEEE
14 years 10 months ago
Bayesian compressive sensing for phonetic classification
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
DEXAW
1998
IEEE
94views Database» more  DEXAW 1998»
15 years 4 months ago
Towards Access Control for Logical Document Structures
This paper presents a first step towards a security model that defines access control for logical document structures. el benefits from roles to abstract from users and from secur...
Fredj Dridi, Gustaf Neumann
ICPR
2010
IEEE
14 years 9 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
ICML
2005
IEEE
16 years 19 days ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...