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» A Neural Probabilistic Language Model
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MM
2009
ACM
269views Multimedia» more  MM 2009»
16 years 14 days ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
KI
2007
Springer
16 years 3 days ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ISI
2006
Springer
15 years 6 months ago
Computational Modeling and Experimental Validation of Aviation Security Procedures
Security of civil aviation has become a major concern in recent years, leading to a variety of protective measures related to airport and aircraft security to be established by re...
Uwe Glässer, Sarah Rastkar, Mona Vajihollahi
NLPRS
2001
Springer
15 years 10 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
MM
2004
ACM
154views Multimedia» more  MM 2004»
15 years 11 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez