Results 51 to 60 of about 511,753 (356)
Advanced Science, EarlyView.HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Robust Watermarking using Hidden Markov Models [PDF]
, 2011 Software piracy is the unauthorized copying or distribution of software. It is a growing problem that results in annual losses in the billions of dollars.
Mungale, Mausami
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L-cumulants, L-cumulant embeddings and algebraic statistics
, 2012 Focusing on the discrete probabilistic setting we generalize the combinatorial definition of cumulants to L-cumulants. This generalization keeps all the desired properties of the classical cumulants like semi-invariance and vanishing for independent ...
Zwiernik, Piotr
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Advanced Science, EarlyView.These findings elucidated the crucial role of the “SVs‐3D genome remodeling‐epigenetic modifications‐gene expression” cascade regulatory network in cotton fiber domestication, offering both a theoretical foundation and genetic resources for molecular design breeding in fiber crops.
Lei Shao +11 more
wiley +1 more source
Hidden Markov models and neural networks in formation of investment portfolio
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 Common mathematical models are used by investors for prediction of the future state of the financial market lose if the macroeconomic situation gets worse.
P.A. Novikov, R.R. Valiev
doaj
Riboswitch Detection Using Profile Hidden Markov Models
BMC Bioinformatics, 2009 Background Riboswitches are a type of noncoding RNA that regulate gene expression by switching from one structural conformation to another on ligand binding. The various classes of riboswitches discovered so far are differentiated by the ligand, which on
Krishnamachari A +4 more
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S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Advanced Science, EarlyView.Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Dynamic Bayesian Networks for Audio-Visual Speech Recognition
EURASIP Journal on Advances in Signal Processing, 2002 The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the need for features that are invariant to acoustic noise
Liang Luhong +4 more
doaj +1 more source
Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
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Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes
, 2016 We introduce the minimal maximally predictive models ({\epsilon}-machines) of processes generated by certain hidden semi-Markov models. Their causal states are either hybrid discrete-continuous or continuous random variables and causal-state transitions ...
Crutchfield, James P., Marzen, Sarah E.
core +2 more sources