搜索结果: 1-8 共查到“计算机科学技术 Contextual”相关记录8条 . 查询时间(0.14 秒)
Perceiving layout and knowing distances:The interaction,relative potency,and contextual use of different information about depth. In W. Epstein & S
Perceiving layout knowing distances interaction relative potency contextua different information
2015/8/13
Perceiving layout and knowing distances:The interaction,relative potency,and contextual use of different information about depth. In W. Epstein & S.
A Contextual Item-Based Collaborative Filtering Technology
Context Item-Based Collaborative Filtering
2013/1/28
This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, u...
Recognizing realistic action using contextual feature gr oup
Action recognition Spatial-temporal local feature Local feature group Discriminate group distance Mahalanobis distance
2013/7/24
Although the spatial-temporal local features and the bag of visual words model (BoW) have achieved a great success and a wide adoption in action classification, there still remain some problems. Fir...
The Harmonic Theory; A mathematical framework to build intelligent contextual and adaptive computing, cognition and sensory system
Harmonic Theory mathematical framework sensory system Artificial Intelligence
2011/10/9
Abstract: Harmonic theory provides a mathematical framework to describe the structure, behavior, evolution and emergence of harmonic systems. A harmonic system is context aware, contains elements that...
Contextual Dictionaries for Image Super Resolution
Super resolution sparse representation contextual dictionary KSVD
2013/7/24
Traditional super resolution (SR) methods based on sparse representation have shown their excellent performance, however, the methods usually perform even worse when the input images and the training ...
Effective Use of Linguistic and Contextual Information for SMT
Effective Use Linguistic Contextual Information SMT
2013/4/22
Effective Use of Linguistic and Contextual Information for SMT。
Robust Collective Classification with Contextual Dependency Network Models
Robust Collective Classification Contextual Dependency Network Models
2010/12/16
Abstract. In order to exploit the dependencies in relational data to improve predictions,
relational classification models often need to make simultaneous statistical
judgments about the class label...
Learning Contextual Dependency Network Models for Link-Based Classification
Network Models Link-Based Classification
2010/12/15
Links among objects contain rich semantics that can be very helpful in classifying the objects. However, many irrelevant links can be found in real-world link data such as Web pages. Often, these nois...