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In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art results , but all such efforts process word vectors sequentially and neglect long-distance dependencies. To combine deep learning with linguistic structures, we propose a dependency-based convolution approach , making use of tree-based(More)
—In this paper we present a novel generalization of Sammon's Mapping (SM), which is a popular, metric multi-dimensional scaling technique used in data analysis and visualization. The new approach, namely the Kernel-based Sammon Mapping (KSM), yields the classic SM and other much related techniques as special cases. Apart from being able to approximate(More)
In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art results , but all such efforts process word vectors sequentially and neglect long-distance dependencies. To exploit both deep learning and linguistic structures, we propose a tree-based convolutional neural network model which exploit(More)
— Recognizing human face from image set has recently seen its prosperity because of its effectiveness in dealing with variations in illumination, expressions, or poses. In this paper, inspired by the prototype notion originating from cognition field, we obtain discriminative feature representation for face recognition by implementing prototype formation on(More)
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