搜索结果: 1-15 共查到“计算机科学技术基础学科 C and V-Models”相关记录15条 . 查询时间(0.328 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Efficient algorithms for the anisotropic dendritic crystal models
各向异性 树枝状晶体 有效算法
2023/4/14
Researchers at Carnegie Mellon University have developed an efficient new way to quickly analyze complex geometric models by borrowing a computational approach that made photorealistic anima...
History Assisted View Authoring for 3D Models
3D model editing history viewpoint authoring
2016/5/24
3D modelers often wish to showcase their models for
sharing or review purposes. This may consist of generating
static viewpoints of the model or authoring animated flythroughs.
Manually creating su...
Strategies in skill acquisition: reconciling continuous models of the learning curve with abrupt strategy shifts
skill acquisition learning mathematical models learning curves
2015/7/21
How does task completion time change with practice and what processes underlie this change? Despite over 100 years of scientific research (e.g., Bryan & Harter, 1899) no wholly satisfactory answer has...
Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models
machine learning graphical models
2014/12/18
With the physical constraints of semiconductor-based electronics becoming increasingly limiting in the past decade, single-core CPUs have given way to multi-core and distributed computing platforms. A...
Retrieval Models based on Linguistic Features of Verbose Queries
Information Retrieval Retrieval Model Modeling Term Dependencies Focused Retrieval Query Term Expansion Translation Model
2014/12/18
Natural language expressions are more familiar to users than choosing keywords for queries. Given that, people can use natural language expressions to represent their sophisticated information needs. ...
Probabilistic Models for Motion Segmentation in Image Sequences
Computer vision Motion segmentation Object detection Optical flow Surveillance Tracking
2014/12/18
Motion segmentation is the task of assigning a binary label to every pixel in an image sequence specifying whether it is a moving foreground object or stationary background. It is often an important t...
RBC Lifespan Uncertainty: Models and Anemia Management Robustness
RBC lifespan uncertainty AMCS model robustness
2014/12/8
This thesis discusses the modeling of uncertainty of red blood cell (RBC) lifespan distribution in patients suffering from Chronic Kidney Disease(CKD) patients, whose anemia is managed through periodi...
Bayesian Mixture Models for Frequent Itemset Discovery
Bayesian Mixture Models Frequent Itemset Discovery
2012/11/26
In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to...
Computational Models of Learning the Raising-Control Distinction
Raising-Control Distinction Computational Models
2014/4/25
We consider the task of learning three verb classes: raising (e.g., seem),
control (e.g., try) and ambiguous verbs that can be used either way (e.g., begin). These
verbs occur in sentences with simi...
Characterizing Search Intent Diversity into Click Models
Click Model Intent Bias Intent Diversity Search Engine User Behavior
2012/11/30
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examination hypothesis which ...
Top-Down Enterprise Application Integration with Reference Models
Top-Down Enterprise Application Integration Reference Models
2009/12/7
For Enterprise Resource Planning (ERP) systems such as SAP R/3 or IBM SanFrancisco, the tailoring of reference models for customizing the ERP systems to specific organizational contexts is an establis...
AbstractThis paper studies wavelength assignment algorithms on WDM all-optical trees of rings under different models: static, incremental and dynamic. It is shown that 5L/2 is the tight bound of the n...
In this paper, a new method is presented to estimate the 3D pose of
facial image based on statistical Gaussian error models. The basic idea is that
the pose angle can be computed by the orthogonal p...
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...