Results 41 to 50 of about 733,862 (315)

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

Human-Centric Intelligent Systems
Understanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech ...
Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Perez-Toro   +5 more
doaj   +1 more source

Establishing Point Correspondence Using Multidirectional Binary Pattern for Face Recognition [PDF]

, 2008
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrences from whole image or partitioned subimage patches and use single or ...
Zhao, S, Gao, Y, Zhao, Sanqiang, Sanqiang Zhao, Yongsheng Gao, Gao, Yongsheng   +5 more
core   +1 more source

Generating Alzheimer’s narratives using large language models

BMC Medical Informatics and Decision Making
Background Analyzing semi-spontaneous speech is a promising direction for supporting Alzheimer’s disease (AD) assessment, yet progress is limited by the scarcity of annotated clinical data. Large Language Models (LLMs) offer new opportunities to generate
Paula Andrea Perez-Toro, Mahmoud Almizel, Elmar Nöth, Andreas Maier, Tomas Arias-Vergara   +4 more
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

Discriminative human action segmentation and recognition using semi-Markov model [PDF]

, 2008
Given an input video sequence of one person conducting a sequence of continuous actions, we consider the problem of jointly segmenting and recognizing actions.
Smola, A., Cheng, L., Qinfeng Shi, Li Wang, Li Cheng, Shi, Q., Wang, L., Alex Smola   +7 more
core   +1 more source

Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram

Engineering Proceedings
Water management is vital for building an adaptive and resilient society. Water demand forecasting aids water management by learning the underlying relationship between consumption and governing variables for optimal supply.
Adithya Ramachandran, Hatem Mousa, Andreas Maier, Siming Bayer   +3 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Stochastic reasoning for structural pattern recognition: An example from image-based UAV navigation [PDF]

, 2022
S.2732-2744This paper reports on the statistical embedding of a structural pattern recognition system into the autonomous navigation of an unmanned aerial vehicle (UAV).
Meidow, Jochen, Michaelsen, Eckart
core   +1 more source

Learning to Recognize Chest-Xray Images Faster and More Efficiently Based on Multi-Kernel Depthwise Convolution

IEEE Access, 2020
The development of convolutional neural networks has promoted the progress of computer-aided diagnostic systems. Details in medical image, such as the texture and tissue structure, are crucial features for diagnosis.
Mengjie Hu, Hezheng Lin, Zimeng Fan, Wenjie Gao, Lu Yang, Chun Liu, Qing Song   +6 more
doaj   +1 more source

Pattern recognition in bees [PDF]

Frontiers in Behavioral Neuroscience, 2010
Adrian Horridge has written an interesting, useful, and very opinionated book on the visual system of insects. He states that it could be used by university students interested in the physiology of vision or the psychology of perception, by entomologists or zoologists, by engineers interested in robot vision, and by philosophers interested in the ...
openaire   +2 more sources