136 Result(s)
within
English
Artificial Intelligence
Pattern Recognition
M. **gliang
Computer Science
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Chapter and Conference Paper
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
Localization of focal vascular lesions on brain MRI is an important component of research on the etiology of neurological disorders. However, manual annotation of lesions can be challenging, time-consuming an...
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Chapter and Conference Paper
Variational AutoEncoder for Regression: Application to Brain Aging Analysis
While unsupervised variational autoencoders (VAE) have become a powerful tool in neuroimage analysis, their application to supervised learning is under-explored. We aim to close this gap by proposing a unified...
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Chapter and Conference Paper
Information Visualization for Highlighting Conflicts in Educational Timetabling Problems
Scheduling is a very important problem in many organizations, such as hospitals, transportation companies, sports confederations and educational institutions. Obtaining a good schedule results in the maximization...
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Chapter and Conference Paper
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network
Recent evidence suggests an association between low back pain (LBP) and changes in lumbar paraspinal muscle morphology and composition (i.e., fatty infiltration). Quantitative measurements of muscle cross-sect...
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Article
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains,...
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Chapter and Conference Paper
Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms
Traumatic brain injury (TBI) can cause widespread and long-lasting damage to white matter. Diffusion weighted imaging methods are uniquely sensitive to this disruption. Even so, traumatic injury often disrupts...
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Chapter and Conference Paper
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
Two common ways of approaching atlas-based segmentation of brain MRI are (1) intensity-based modelling and (2) multi-atlas label fusion. Intensity-based methods are robust to registration errors but need disti...
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Chapter and Conference Paper
Hyperalignment of Multi-subject fMRI Data by Synchronized Projections
Group analysis of fMRI data via multivariate pattern methods requires accurate alignments between neuronal activities of different subjects in order to attain competitive inter-subject classification rates. Hy...
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Chapter and Conference Paper
Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners
Photoacoustic (PA) imaging requires channel data acquisition synchronized with a laser firing system. Unfortunately, the access to these channel data is only available on specialized research systems, and most...
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Chapter
An Online Learning-Based Adaptive Biometric System
In the last decade, adaptive biometrics has become an emerging field of research. Considering the fact that limited work has been undertaken on adaptive biometrics using machine learning techniques, in this ch...
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Chapter and Conference Paper
Class-Driven Color Transformation for Semantic Labeling
We propose a novel class-driven color transformation aimed at semantic labeling. In contrast with other approaches elsewhere in the literature, our approach is a supervised one employing class information to l...
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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
A Straightforward Implementation of a GPU-accelerated ELM in R with NVIDIA Graphic Cards
General purpose computing on graphics processing units (GPGPU) is a promising technique to cope with nowadays arising computational challenges due to the suitability of GPUs for parallel processing. Several li...
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Chapter and Conference Paper
Interestingness Prediction by Robust Learning to Rank
The problem of predicting image or video interestingness from their low-level feature representations has received increasing interest. As a highly subjective visual attribute, annotating the interestingness v...
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Chapter and Conference Paper
The Translectures-UPV Toolkit
Over the past few years, online multimedia educational repositories have increased in number and popularity. The main aim of the transLectures project is to develop cost-effective solutions for producing accur...
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Chapter and Conference Paper
Identification of Novel c-Yes Kinase Inhibitors
c-Yes is a member of Src tyrosine kinase family and it is over expressed in human colorectal cancer cells. c-Yes tyrosine kinase is an attractive target due to its inhibition controls colon tumorigenesis, meta...
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Chapter and Conference Paper
Towards Cross-Lingual Emotion Transplantation
In this paper we introduce the idea of cross-lingual emotion transplantation. The aim is to lean the nuances of emotional speech in a source language for which we have enough data to adapt an acceptable qualit...
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Chapter and Conference Paper
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation such as visual attributes or semantic word vectors. Such a semantic representation is sha...
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Chapter and Conference Paper
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation
The success of craniomaxillofacial (CMF) surgery depends not only on the surgical techniques, but also upon an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the a...
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Chapter and Conference Paper
An Adaptive Information Retrieval System for Efficient Web Searching
Stemming algorithms (stemmers) are used to convert the words to their root form (stem), this process is used in the pre-processing stage of the Information Retrieval Systems. The Stemmers affect the indexing t...
