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» Method of Motion Data Processing Based on Manifold Learning
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CORR
2008
Springer
173views Education» more  CORR 2008»
13 years 7 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
ICASSP
2010
IEEE
13 years 7 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
EMNLP
2009
13 years 5 months ago
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
14 years 1 months ago
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Ognjen Arandjelovic, Roberto Cipolla

Publication
151views
12 years 6 months ago
Embedding Overlap Priors in Variational Left Ventricle Tracking
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. This study investigates overlap priors for variational tracking of the Left Ventricle (LV...
Ismail Ben Ayed, Shuo Li and Ian Ross