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Frame-Transformer Emotion Classification Network
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017Emotional content is a key ingredient in user-generated videos. However, due to the emotion sparsely expressed in the user-generated video, it is very difficult to analayze emotions in videos. In this paper, we propose a new architecture--Frame-Transformer Emotion Classification Network (FT-EC-net) to solve three highly correlated emotion analysis ...
Jiarui Gao +3 more
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Zonal function network frames on the sphere
Neural Networks, 2003We introduce a class of zonal function network frames suitable for analyzing data collected at scattered sites on the surface of the unit sphere of a Euclidean space. Our frames consist of zonal function networks and are well localized. The frames belonging to higher and higher scale wavelet spaces have more and more vanishing polynomial moments.
Hrushikesh Narhar Mhaskar +2 more
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The great networking correction: frames reaffirmed
IEEE Internet Computing, 1997The paper considers how frame-based network technologies of local area networks are retaking their role as the primary campus technology, providing connections from desktop through backbone. This development comes at the expense of cell-based ATM, which was widely viewed as the inevitable, and highly desirable, next wave in transport technologies.
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Neural network frames on the sphere
Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501), 2002We construct a multiresolution analysis of the standard Hilbert space on a Euclidean sphere, which can be implemented directly by neural networks. The neural networks may utilize any sufficiently smooth function as an activation function, and their size can be determined in advance.
H.N. Mhaskar, F.J. Narcowich, J.D. Ward
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Granular neural networks with a reference frame
Knowledge-Based Systems, 2023Yumin Chen 0002 +4 more
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Digit. Tech. J., 2023 The Frame Problem and Bayesian Network Action Representations*
1996We examine a number of techniques for representing actions with stochastic effects using Bayesian networks and influence diagrams. We compare these techniques according to ease of specification and size of the representation required for the complete specification of the dynamics of a particular system, paying particular attention the role of ...
Craig Boutilier, Moisés Goldszmidt
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Framing a demand network for sustainability
Progress in Industrial Ecology, An International Journal, 2004The embeddedness of companies in their micro and macro environments, their interconnectedness in supply chains and with their stakeholders, makes it impossible for them to develop sustainable strategies in isolation from other actors, the basic motivation for such systemwide perspectives as those in industrial ecology.
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Frame Segmentation Networks for Temporal Action Localization
2018Temporal action localization is an important task of computer vision. Though many methods have been proposed, it still remains an open question how to predict the temporal location of action segments precisely. Most state-of-the-art works train action classifiers on video segments pre-determined by action proposal.
Ke Yang 0004 +6 more
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Frame relay: the networker express
IEE Review, 1992By exploiting the low error rates on modern transmission systems, the frame-relay network protocol is transforming the performance and capabilities of packet-based networks.
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