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Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval
(Springer Berlin Heidelberg, 2012)
In this paper, we present a new methodology aimed at retrieving relevant product aspects from a collection of customer reviews, as well as the most salient sentiments expressed about them. Our proposal is both unsupervised ...
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications
(Springer Berlin Heidelberg, 2010)
The quality and size of the training data sets is a critical stage on the ability of the artificial neural networks to generalize the characteristics of the training examples. Several approaches are focused to form training ...
Continuous Level of Detail for Large Scale Rendering of 3D Animated Polygonal Models
(Springer Berlin Heidelberg, 2012)
Current simulation applications are mainly focused on the efficient management of scenarios with static objects. However, managing dynamic objects, such as animated characters, is very different and requires more specific ...
Relief Patterned-Tile Classification for Automatic Tessella Assembly
(Springer Berlin Heidelberg, 2010)
This paper presents the detection and classification part of an industrial machine for automated assembly of decorative tessellae over patterned tiles that have significant reliefs. The machine consists of two vision systems ...
Gender Classification from Pose-Based GEIs
(Springer Berlin Heidelberg, 2012)
This paper introduces a new approach for gait-based gender classification in which some key biomechanical poses of a gait pattern are represented by partial Gait Energy Images (GEIs). These pose-based GEIs can more accurately ...
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods
(Springer Berlin Heidelberg, 2012)
A wide range of classification models have been explored for financial risk prediction, but conclusions on which technique behaves better may vary when different performance evaluation measures are employed. Accordingly, ...
Gait Recognition by Ranking
(Springer Berlin Heidelberg, 2012)
The advantage of gait over other biometrics such as face or fingerprint is that it can operate from a distance and without subject cooperation. However, this also makes gait subject to changes in various covariate conditions ...