Results 231 to 240 of about 129,844 (264)

Submodular Attribute Selection for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
In real-world visual recognition problems, low-level features cannot adequately characterize the semantic content in images, or the spatio-temporal structure in videos. In this work, we encode objects or actions based on attributes that describe them as high-level concepts. We consider two types of attributes.
Jingjing Zheng, Zhuolin Jiang, Rama Chellappa   +2 more
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Range selectivity estimation for continuous attributes

Proceedings. Eleventh International Conference on Scientific and Statistical Database Management, 2003
Many commercial database systems maintain histograms to efficiently estimate query selectivities as part of query optimization. Most work on histogram design is implicitly geared towards discrete or categorical attribute value domains. We consider approaches that are better suited for the continuous valued attributes commonly found in scientific and ...
Flip Korn, Theodore Johnson, H. V. Jagadish   +2 more
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Attributional Style, Task Selection and Achievement

Journal of Educational Psychology, 1979
The role of causal attributions in determining motivation to achieve has been the object of intensive study with generally interesting and valuable results (Dweck & Goetz, 1978; Weiner, in press). Thus, it seems quite clear that causal attributions play a critical role in determining the perception of success and failure as such (cf.
Leslie J. Fyans, Martin L. Maehr
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Attributes: Selective Learning and Influence

Econometrica
An agent selectively samples attributes of a complex project so as to influence the decision of a principal. The players disagree about the weighting, or relevance, of attributes. The correlation across attributes is modeled through a Gaussian process, the covariance function of which captures pairwise attribute similarity.
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Selecting distinctive attributes for concept learning

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97, 2002
This paper presents an innovative approach for learning the distinctive attributes of uncertain objects. The proposed system takes instances, clusters them into different concepts and consequently induces a hierarchy which is used for later classification.
Andreas Dengel 0001, Frank Dubiel
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Systematic selection of quality attribute techniques

Proceedings of the 11th International Conference on Product Focused Software, 2010
Various techniques are used to investigate, evaluate, and control product quality risks throughout software development process. These "Quality Attribute Techniques" are used during all stages of the software development life cycle to ensure that acceptable levels of product qualities such as safety and performance are in place.
Yin Kia Chiam, Liming Zhu 0001, Mark Staples   +2 more
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Algorithms for Attribute Selection and Knowledge Discovery

2017
The features relevant selection is a task performed prior to the data mining and can be seen as one of the most important problems to solve in the data preprocessing stage an in the machine learning. With the feature selection is mainly intended to improve predictive or descriptive performance of models and implement faster and less expensive ...
Jorge Enrique Rodríguez R., Victor Hugo Medina García, Lina María Medina Estrada   +2 more
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Optimising Attribute Selection in Conversational Search

2003
It has been shown that user modelling has the potential to improve the performance of conversational search systems, particularly in what concerns the problem of attribute selection, i.e., determining which attribute to ask the user at each step of the dialogue.
Dario Teixeira, Wim F. J. Verhaegh
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Effect of selected attribute filters on watermarks

SPIE Proceedings, 2010
This paper shows the effect that selected attribute filters have on existing watermarks of an image. Seven transform domain watermarking algorithms and five attributes have been investigated. The attributes are volume, gray-level, power, area and vision. Apart from only one, all of the filters have been found not to affect the underlying watermarks.
Florence Tushabe, Michael H. F. Wilkinson   +1 more
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Attribute Selection Method

2009
It is well known fact that proteins are grouped in families according to their structure, function and ancestry. Proteins that evolve from a common ancestor can have modified functionalities. So, we divide protein families into subfamilies according to the modified functionality.
Špoljarić, Drago, Goldstein, Pavle, Žučko, Jurica, Basrak, Bojan, Vujaklija, Ivan   +4 more
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