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» A Framework for Multiple-Instance Learning
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TMI
2008
138views more  TMI 2008»
15 years 3 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ICIP
2010
IEEE
15 years 2 months ago
Metaface learning for sparse representation based face recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Meng Yang, Lei Zhang, Jian Yang, David Zhang
147
Voted
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 1 months ago
an Argument Learning Environment Using Agent-Based ITS (ALES)
This paper presents an agent-based educational environment to teach argument analysis (ALES). The idea is based on the Argumentation Interchange Format Ontology (AIF) using "W...
Safia Abbas, Hajime Sawamura
EMNLP
2009
15 years 1 months ago
Learning Term-weighting Functions for Similarity Measures
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
Wen-tau Yih
ICMLA
2009
15 years 1 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...