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52
Effective Multi-Modal Retrieval based on Stacked Auto-Encoders
"... Multi-modal retrieval is emerging as a new search paradigm that enables seamless information retrieval from various types of me-dia. For example, users can simply snap a movie poster to search relevant reviews and trailers. To solve the problem, a set of map-ping functions are learned to project hig ..."
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-modal data and ranking examples, our method requires little prior knowledge. Given a large training dataset, we split it into mini-batches and continually adjust the mapping functions for each batch of input. Hence, our method is memory efficient with respect to the data volume. Experiments on three real
The effect of observational learning on students' performance, processes, and motivation in two creative domains
"... Background. Previous research has shown that observation can be effective for learning in various domains, for example, argumentative writing and mathematics. The question in this paper is whether observational learning can also be beneficial when learning to perform creative tasks in visual and ve ..."
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learning videos: (1) initial and ongoing problem finding activities, (2) generating (large, deep) strings of ideas, (3) exploring generated ideas, and (4) critically evaluating work produced thus far (see Method section and Traditionally, the creative process is described as consisting of four stages
Orientation and direction selectivity of neurons in V1 of alert monkeys: functional relationships and laminar distributions.
- Cereb Cortex
, 2005
"... Abstract We studied orientation selectivity in V1 of alert monkeys and its relationship to other physiological parameters and to anatomical organization. Single neurons were stimulated with drifting bars or with sinusoidal gratings while compensating for eye position. Orientation selectivity based ..."
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Cited by 14 (0 self)
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to fixate on a light-emitting diode (LED) for water reward. Once the monkey learned the task, a head-holding post and a recording well were implanted under deep anesthesia. All procedures complied with National Institutes of Health guidelines and were approved by the Animal Care and Use Committee
Wireless Sensor Networking in Challenging Environments
, 2014
"... This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact ..."
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This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact
1C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
"... Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an `1-regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit. In this work we combine the sparsity-inducing property of the Lasso ..."
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active groups, or classes, but not necessarily the same active set. This model is very well suited for applications such as source identification and separation. An efficient optimization procedure, which guarantees convergence to the global optimum, is developed for these new models. The underlying
Results 11 - 20
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52
