AIMC Topic: Pattern Recognition, Automated
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Deep learning of support vector machines with class probability output networks.
Neural networks : the official journal of the International Neural Network Society
Oct 7, 2014
Deep learning methods endeavor to learn features automatically at multiple levels and allow systems to learn complex functions mapping from the input space to the output space for the given data. The ability to learn powerful features automatically i...
Manifold regularized multitask feature learning for multimodality disease classification.
Human brain mapping
Oct 3, 2014
Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint select...
Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 2, 2014
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscopy (MICO(1)) initiative. MICO aims at supporting the evolution towards digital pathology, by studying cognitive clinical-compliant protocols involving ...
Cell Nucleus
Humans
Microscopy
Image Enhancement
Machine Learning
Image Interpretation, Computer-Assisted
Mitosis
Software
Semantics
Histological Techniques
Algorithms
Pattern Recognition, Automated
User-Computer Interface
Neoplasm Grading
Signal Processing, Computer-Assisted
Female
Reproducibility of Results
Sensitivity and Specificity
Breast Neoplasms
Learning Multiscale Active Facial Patches for Expression Analysis.
IEEE transactions on cybernetics
Sep 29, 2014
In this paper, we present a new idea to analyze facial expression by exploring some common and specific information among different expressions. Inspired by the observation that only a few facial parts are active in expression disclosure (e.g., aroun...
Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases.
Clinical EEG and neuroscience
Sep 21, 2014
We carried out a series of statistical experiments to explore the utility of using relevance feedback on electroencephalogram (EEG) data to distinguish between different activity states in human absence epilepsy. EEG recordings from 10 patients with ...
Dealing with heterogeneous classification problem in the framework of multi-instance learning.
Talanta
Sep 16, 2014
To deal with heterogeneous classification problem efficiently, each heterogeneous object was represented by a set of measurements obtained on different part of it, and the heterogeneous classification problem was reformulated in the framework of mult...
Variability of automated carotid intima-media thickness measurements by novice operators.
Clinical physiology and functional imaging
Sep 12, 2014
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical atherosclerosis. The aim of the study was to assess the inter- and intra-observer variability of automated C-IMT measurements undertaken by two novic...
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.
IEEE transactions on cybernetics
Sep 9, 2014
Recognizing human actions in 3-D video sequences is an important open problem that is currently at the heart of many research domains including surveillance, natural interfaces and rehabilitation. However, the design and development of models for act...
Weighted Fuzzy Interpolative Reasoning Based on the Slopes of Fuzzy Sets and Particle Swarm Optimization Techniques.
IEEE transactions on cybernetics
Sep 5, 2014
In this paper, we propose a new weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the slopes of fuzzy sets. We also propose a particle swarm optimization (PSO)-based weights-learning algorithm to automatically...
Trainable COSFIRE filters for vessel delineation with application to retinal images.
Medical image analysis
Sep 3, 2014
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical pathologies. The automatic segmentation of the vessel tree is an important pre-processing step which facilitates subsequent automatic processes that contribute t...
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