AIMC Topic: Artificial Intelligence

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New approach for the diagnosis of extractions with neural network machine learning.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: The decision to extract teeth for orthodontic treatment is important and difficult because it tends to be based on the practitioner's experiences. The purposes of this study were to construct an artificial intelligence expert system for...

Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing.

IEEE transactions on pattern analysis and machine intelligence
Human parsing, namely partitioning the human body into semantic regions, has drawn much attention recently for its wide applications in human-centric analysis. Previous works often consider solving the problem of human pose estimation as the prerequi...

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence
Recent trends in image understanding have pushed for scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning, and local appearance based classifiers. In this...

Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

IET systems biology
This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identi...

Human Age Estimation Based on Locality and Ordinal Information.

IEEE transactions on cybernetics
In this paper, we propose a novel feature selection-based method for facial age estimation. The face aging is a typical temporal process, and facial images should have certain ordinal patterns in the aging feature space. From the geometrical perspect...

Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, a hierarchical multi-task structural learning algorithm is developed to support large-scale plant species identification, where a visual tree is constructed for organizing large numbers of plant species in a coarse-to-fine fashion and ...

Networking Biology: The Origins of Sequence-Sharing Practices in Genomics.

Technology and culture
The wide sharing of biological data, especially nucleotide sequences, is now considered to be a key feature of genomics. Historians and sociologists have attempted to account for the rise of this sharing by pointing to precedents in model organism co...

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.

IEEE transactions on pattern analysis and machine intelligence
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar instances for manual a...

Learning Compact Binary Face Descriptor for Face Recognition.

IEEE transactions on pattern analysis and machine intelligence
Binary feature descriptors such as local binary patterns (LBP) and its variations have been widely used in many face recognition systems due to their excellent robustness and strong discriminative power. However, most existing binary face descriptors...