Results 101 to 110 of about 1,098,703 (325)
A Pyramidal Neural Network For Visual Pattern Recognition
IEEE Transactions on Neural Networks, 2007 In this paper, we propose a new neural architecture for classification of visual patterns that is motivated by the two concepts of image pyramids and local receptive fields. The new architecture, called pyramidal neural network (PyraNet), has a hierarchical structure with two types of processing layers: Pyramidal layers and one-dimensional (1-D) layers.
Phung, Son Lam, Bouzerdoum, A.
openaire +5 more sources
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition [PDF]
Scene text recognition, as a cross-modal task involving vision and text, is an important research topic in computer vision. Most existing methods use language models to extract semantic information for optimizing visual recognition. However, the guidance of visual cues is ignored in the process of semantic mining, which limits the performance of the ...
arxiv +1 more source
Audio-Visual Class-Incremental Learning [PDF]
arXiv, 2023 In this paper, we introduce audio-visual class-incremental learning, a class-incremental learning scenario for audio-visual video recognition. We demonstrate that joint audio-visual modeling can improve class-incremental learning, but current methods fail to preserve semantic similarity between audio and visual features as incremental step grows ...
arxiv
Molecular Oncology, EarlyView.Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen +12 more
wiley +1 more source
Visual Speech Recognition [PDF]
, 2014 Lip reading is used to understand or interpret speech without hearing it, a technique especially mastered by people with hearing difficulties. The ability to lip read enables a person with a hearing impairment to communicate with others and to engage in social activities, which otherwise would be difficult.
arxiv +1 more source
Molecular Oncology, EarlyView.Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed +8 more
wiley +1 more source
Scene Context Dependency of Pattern Constancy of Time Series Imagery [PDF]
, 2008 A fundamental element of future generic pattern recognition technology is the ability to extract similar patterns for the same scene despite wide ranging extraneous variables, including lighting, turbidity, sensor exposure variations, and signal noise ...
Jobson, Daniel J. +2 more
core +1 more source
Mid-level Representation for Visual Recognition [PDF]
arXiv, 2015 Visual Recognition is one of the fundamental challenges in AI, where the goal is to understand the semantics of visual data. Employing mid-level representation, in particular, shifted the paradigm in visual recognition. The mid-level image/video representation involves discovering and training a set of mid-level visual patterns (e.g., parts and ...
arxiv
Molecular Oncology, EarlyView.Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley +1 more source
Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks
, 2017 Deep Neural Networks (DNNs) have shown to outperform traditional methods in various visual recognition tasks including Facial Expression Recognition (FER).
Hasani, Behzad, Mahoor, Mohammad H.
core +1 more source