Results 61 to 70 of about 7,775,419 (309)
Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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Exploring a recognition-induced recognition decrement [PDF]
Memory & Cognition, 2006 Four experiments were performed to explore a recognition decrement that is associated with the recognition of a word from a short list. The stimulus material for demonstrating the phenomenon was a list of words of different syntactic types. A word from the list was recognized less well following a decision that a word of the same type had occurred in ...
Stephen Dopkins +2 more
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Pattern Recognition and Machine Learning
J. Electronic Imaging, 2006 Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous ...
Radford M. Neal
semanticscholar +1 more source
Engineering ProceedingsWater 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 +3 more
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Feature recognition & tool path generation for 5 axis STEP-NC machining of free form / irregular contoured surfaces [PDF]
, 2010 This research paper presents a five step algorithm to generate tool paths for machining Free form / Irregular Contoured Surface(s) (FICS) by adopting STEP-NC (AP-238) format. In the first step, a parametrized CAD model with FICS is created or imported in
Anbalagan, A
core +1 more source
Large Vocabulary Spontaneous Speech Recognition for Tigrigna [PDF]
arXiv, 2023 This thesis proposes and describes a research attempt at designing and developing a speaker independent spontaneous automatic speech recognition system for Tigrigna The acoustic model of the Speech Recognition System is developed using Carnegie Mellon University Automatic Speech Recognition development tool (Sphinx) while the SRIM tool is used for the ...
arxiv
Human-Centric Intelligent SystemsUnderstanding 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 +5 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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SEPSIS IN THE RECOGNITION AND NON-RECOGNITION OF SYPHILIS. [PDF]
The Lancet, 1914 n ...
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Vision, 2019 When children grow up, the first word or first step in walking is always a significant event [...]
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