Listar por autoría "27e6b0e5-9038-406f-8a09-b89e5e284d22"
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A bias correction function for classification performance assessment in two-class imbalanced problems
Elsevier (2014)This paper introduces a framework that allows to mitigate the impact of class imbalance on most scalar performance measures when used to evaluate the behavior of classifiers. Formally, a correction function is defined with ... -
A Kinect-Based Interactive System for Home-Assisted Active Aging
MDPI (2021)Virtually every country in the world is facing an unprecedented challenge: society is aging.Assistive technologies are expected to play a key role in promoting healthy lifestyles in the elderly.This paper presents a ... -
A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs
MDPI (2019)Current physiotherapy services may not be effective or suitable for certain patients due to lack of motivation, poor adherence to exercises, insufficient supervision and feedback or, in the worst case, refusal to continue ...
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Arm Swing Asymmetry Measurement from 2D Gait Videos
MDPI (2021-10-25)Arm swing during gait has been positively related to gait stability and gait efficiency, particularly in the presence of neurological disorders that affect locomotion. However, most gait studies have focused on lower ...
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Classification of high dimensional and imbalanced hyperspectral imagery data
Springer (2011)The present paper addresses the problem of the classification of hyperspectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data set, whereas PCA is ...
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Dealing with inaccurate face detection for automatic gender recognition with partially occluded faces
Springer Verlag (Germany) (2009)Gender recognition problem has not been extensively studied in situations where the face cannot be accurately detected and it also can be partially occluded. In this contribution, a comparison of several characterisation ...
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Exploring synergetic effects of dimensionality reduction and resampling tools on hyperspectral imagery data classification
Springer (2011)The present paper addresses the problem of the classification of hyperspectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data set, whereas PCA and a ...
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Exploring the performance of resampling strategies for the class imbalance problem
Springer Verlag (2010)The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the nature of the classifier used, along with ...
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Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes
Elsevier (2014-01)This paper presents a thorough study of gender classification methodologies performing on neutral, expressive and partially occluded faces, when they are used in all possible arrangements of training and testing roles. A ...
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Gait recognition from corrupted silhouettes: a robust statistical approach
Springer Verlag (2016-07)This paper introduces a method based on robust statistics to build reliable gait signatures from averaging silhouette descriptions, mainly when gait sequences are affected by severe and persistent defects. The term robust ...
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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 ...
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Gender recognition from a partial view of the face using local feature vectors
Springer Verlag (2009)This paper proposes a gender recognition scheme focused on local appearance-based features to describe the top half of the face. Due to the fact that only the top half of the face is used, this is a feasible approach in ...
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Human recognition based on gait poses
Springer (2011)This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. Pose-based ...
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Index of balanced accuracy: a performance measure for skewed class distributions
Springer Verlag (Germany) (2009)This paper introduces a new metric, named Index of Balanced Accuracy, for evaluating learning processes in two-class imbalanced domains. The method combines an unbiased index of its overall accuracy and a measure about how ...
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Melodic track identification in MIDI files considering the imbalanced context
Springer Verlag (Germany) (2009)In this paper, the problem of identifying the melodic track of a MIDI file in imbalanced scenarios is addressed. A polyphonic MIDI file is a digital score that consists of a set of tracks where usually only one of them ...
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Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
Institute of Electrical and Electronics Engineers (2020-09-24)The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal ...
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On the Complementarity of Face Parts for Gender Recognition
Springer Verlag (2008)This paper evaluates the expected complementarity between the most prominent parts of the face for the gender recognition task. Given the image of a face, five important parts (right and left eyes, nose, mouth and chin) ...
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On the suitability of combining feature selection and resampling to manage data complexity
Springer Verlag (2010)The effectiveness of a learning task depends on data com- plexity (class overlap, class imbalance, irrelevant features, etc.). When more than one complexity factor appears, two or more preprocessing techniques should be ...
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On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
Elsevier (2012)The present paper investigates the influence of both the imbalance ratio and the classifier on the performance of several resampling strategies to deal with imbalanced data sets. The study focuses on evaluating how learning ...
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Reconstruction of noisy signals by minimization of non-convex functionals
Elsevier (2016-12)Non-convex functionals have shown sharper results in signal reconstruction as compared to convex ones, although the existence of a minimum has not been established in general. This paper addresses the study of a general ...
