Results 71 to 80 of about 3,440,683 (277)

Towards Open Ended Learning: Budgets, Model Selection, and Representation [PDF]

, 2011
Biological organisms learn to recognize visual categories continuously over the course of their lifetimes. This impressive capability allows them to adapt to new circumstances as they arise, and to flexibly incorporate new object categories as they are ...
Gomes, Ryan Geoffrey
core   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Wrapped Unsupervised Hyperspectral Band Selection via Reconstruction Error from Wasserstein Generative Adversarial Network

Remote Sensing
Wrapped unsupervised band selection (WUBS) is a powerful means of reducing the dimensions of hyperspectral images (HSIs) and has drawn much focus recently.
Haoyang Yu, Hongna Zheng, Tao Yao, Yuling Zhang, Deyin Zhang   +4 more
doaj   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery

Remote Sensing, 2018
Hyperspectral Band Selection (BS) aims to select a few informative and distinctive bands to represent the whole image cube. In this paper, an unsupervised BS framework named the band priority index (BPI) is proposed.
Wenqiang Zhang, Xiaorun Li, Liaoying Zhao   +2 more
doaj   +1 more source

UDSFS: Unsupervised deep sparse feature selection

, 2016
In this paper, we focus on unsupervised feature selection. As we have known, the combination of several feature units into a whole feature vector is broadly adopted for effective object representation, which may inevitably includes some irrelevant ...
Fan BJ(范保杰), Yu HB(于海斌), Yang YS(杨云生), Cong Y(丛杨), Wang S(王帅)   +4 more
core  

CD9+ B Cells Induce T Follicular Helper Cell Apoptosis to Regulate Germinal Center Regression

Advanced Science, EarlyView.
A unique subset of CD9+ B cells regulates germinal center B (GC‐B) cell regression by inducing T follicular helper (Tfh) cell apoptosis through multiple signaling pathways, such as ALCAM‐CD6. FOXP1 plays a key role in GC‐B cell differentiation. These findings clarify mechanisms of GC degeneration and termination and offer potential targets for adenoid ...
Wenjing Liao, Lijuan Song, Meiqian Xu, Tianhao Liang, Yixuan Chen, Gui Chen, Zaihuan Lin, Huakang Du, Guofei Feng, Zhiming Feng, Qi Zhang, Fan Pan, Saixuan Yang, Xinyin Zhang, Wenxu Peng, Tianlong Li, Zhuoshen Lin, Yabang Chen, Jiayi Liu, Baoxin Peng, Yan Liu, Xing Niu, Ting Li, Chengyu Huang, Ke Mo, Jianlei Xie, Yu Zou, Xiaowen Zhang   +27 more
wiley   +1 more source

Single‐Cell Dissection of Therapy‐Induced Remodeling Uncovers a Fibroblast‐Driven Immunosuppressive Niche and Targetable Vulnerabilities in Lethal Prostate Cancer

Advanced Science, EarlyView.
Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen, Dandan Dong, Jinling Liao, Naikai Liao, Mengqi Liu, Qin Zhang, Siting Chen, Qi Liu, Ying Lu, Tianyu Li, Chunlin Zou, Qiong Song, Qiuyan Wang, Jian Liang, Qiji Xie, Chengyang Li, Mengyun Wang, Jiwen Cheng, Zengnan Mo, Gong‐Hong Wei   +19 more
wiley   +1 more source

Hyperspectral Band Selection for Crop Identification and Mapping of Agriculture

Remote Sensing
Different crops, as well as the same crop at different growth stages, display distinct spectral and spatial characteristics in hyperspectral images (HSIs) due to variations in their chemical composition and structural features.
Yulei Tan, Jingtao Gu, Laijun Lu, Liyuan Zhang, Jianyu Huang, Lin Pan, Yan Lv, Yupeng Wang, Yang Chen   +8 more
doaj   +1 more source

Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images

Remote Sensing, 2017
This paper proposes to use band selection-based dimensionality reduction (BS-DR) technique in addressing a challenging multi-temporal hyperspectral images change detection (HSI-CD) problem. The aim of this work is to analyze and evaluate in detail the CD
Sicong Liu, Qian Du, Xiaohua Tong, Alim Samat, Haiyan Pan, Xiaolong Ma   +5 more
doaj   +1 more source