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SMC
2010
IEEE
187views Control Systems» more  SMC 2010»
13 years 6 months ago
Estimation of psychological stress levels using Facial Expression Spatial Charts
—This paper presents a new framework to describe individual facial expression spaces, particularly addressing the dynamic diversity of facial expressions that appear as an exclam...
Hirokazu Madokoro, Kazuhito Sato
SSPR
2010
Springer
13 years 6 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
TCBB
2010
106views more  TCBB 2010»
13 years 6 months ago
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
—The correct interpretation of many molecular biology experiments depends in an essential way on the accuracy and consistency of the existing annotation databases. Such databases...
Bogdan Done, Purvesh Khatri, Arina Done, Sorin Dra...
TKDE
2010
182views more  TKDE 2010»
13 years 6 months ago
MILD: Multiple-Instance Learning via Disambiguation
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Wu-Jun Li, Dit-Yan Yeung
ICIP
2010
IEEE
13 years 5 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...