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A re-examination of text categorization methods
This paper reports a controlled study with statistical signi cance tests on ve text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classi er, a neural network (NNet) approach, the Linear Leastsquares Fit (LLSF) mapping and a Naive Bayes (NB) classier. Expand
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix of the given document corpus. Expand
Generic text summarization using relevance measure and latent semantic analysis
In this paper, we propose two generic text summarization methods that create text summaries by ranking and extracting sentences from the original documents. Expand
Shooting a moving target: Motion-prediction-based transmission for 360-degree videos
We propose a machine learning mechanism that predicts not only viewer motion but also prediction deviation itself. Expand
Exploring the Context of Locations for Personalized Location Recommendations
In this paper, by leveraging the Skipgram model, we learn the latent representation for a location to capture the influence of its context. Expand
Passport: Secure and Adoptable Source Authentication
We present the design and evaluation of Passport, a system that allows source addresses to be validated within the network that allows each autonomous system (AS) along the network path to independently verify that a source address is valid. Expand
LCQMC:A Large-scale Chinese Question Matching Corpus
We introduce a large-scale Chinese question matching corpus (named LCQMC), which is released to the public1. Expand
Video summarization using singular value decomposition
  • Y. Gong, Xin Liu
  • Computer Science
  • Proceedings IEEE Conference on Computer Vision…
  • 13 June 2000
The authors propose a novel technique for video summarization based on singular value decomposition (SVD) and a metric to measure the amount of visual content contained in each frame cluster using its degree of visual changes. Expand
To filter or to authorize: network-layer DoS defense against multimillion-node botnets
This paper presents the design and implementation of a filter-based DoS defense system (StopIt) and a comparison study on the effectiveness of filters and capabilities. Expand
VIPLFaceNet: an open source deep face recognition SDK
We propose and release an open source deep face recognition model, VIPLFaceNet, with high-accuracy and low computational cost, which is a 10-layer deep convolutional neural network that achieves 98.60% mean accuracy on LFW using one single network. Expand