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Automatic discomfort detection for infants is important in health care, since infants have no ability to express their discomfort. In this paper, we propose an automatic system for detecting and monitoring discomfort of infants based on video analysis. The system is based on supervised learning and classifies previously unseen infants from the testing set in a fully automated way. Our system consists...
In this paper, we present a structured fusion method for facial age group classification. To utilize the structured fusion of shape features and surface features, we introduced the region of certainty (ROC) to not only control the classification accuracy for shape feature based system but also reduce the classification needs on surface feature based system. In the first stage, we design two shape...
Programs expressed using logic representations can be more easily analysed and transformed. Transformations will depend on the target language semantics. A field encapsulation refactorization will be different for a Java program and an Eiffel program. Logic based representations of programs and its metamodel allows writing generic rules capable of performing some language independent transformations...
With the large scale deployment of biometrics for access control in private and public places, systems are faced the challenge of processing a diverse range of people. Most systems have been well evaluated for adults, however, their application in schools, or for private door access control, raises the question, whether there exists significant difference in performance between age groups in general...
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In general, shape-correspondence methods can be grouped into one of two categories: global methods and pair-wise methods. In this paper, we develop a new method that attempts to address the limitations of both the global and pair-wise methods. In particular,...
This paper describes and evaluates methods to detect pulmonary vein drainages and create detailed vessel trees of each drainage from contrast-enhanced magnetic resonance angiography (MRA). This description of the drainage allow us to determine the highly complex left atrial anatomy in a qualitative and quantitative way. It is beneficial for planning atrial fibrillation ablation procedures. We conclude...
LADAR provides 3D shape information that has yet to be fully exploited for object recognition or classification. This is partly due to the operating conditions, but mostly due to a representational gap in computational intelligence. This paper briefly explores some of the hurdles of object classification using LADAR data and proposes a theoretical framework, based on the biological inspiration of...
This paper introduces SCHEME (subtree caching using a hashing for equivalence method), a method of caching program subtrees while taking into consideration algebraic equivalences between these programs. By using hashing in order to estimate algebraic equivalence between subtrees, we develop a hash table based caching mechanism which is easily integrated with the standard GP system. Experiments are...
We describe the current state of a system that recognizes printed text of various fonts and sizes for the Roman alphabet. The system combines several techniques in order to improve the overall recognition rate. Thinning and shape extraction are performed directly on a graph of the run-length encoding of a binary image. The resulting strokes and other shapes are mapped, using a shape-clustering approach,...
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