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Face recognition: a convolutional neural-network approach
TLDR
We present a hybrid neural-network for human face recognition which compares favourably with other methods. Expand
CiteSeer: an automatic citation indexing system
TLDR
We present CiteSeer: an autonomous citation indexing system which indexes academic literature in electronic format (e.g. Postscript files on the Web) and can display the context of how the paper is cited in subsequent publications. Expand
Efficient identification of Web communities
TLDR
We de ne a communit y on the web as a set of sites that have more links (in either direction) to members of the community than to non-members. Expand
Accessibility of information on the web
TLDR
Search engines do not index sites equally, may not index new pages for months, and no engine indexes more than about 16% of the web. Expand
Digital Libraries and Autonomous Citation Indexing
TLDR
The revolution the Web has brought to information dissemination is not so much due to the availability of data-huge amounts of information has long been available in libraries-but rather the improved efficiency of accessing (improved accessibility to) that information. Expand
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks
TLDR
We show that a recurrent, second-order neural network using a real-time, forward training algorithm readily learns to infer small regular grammars from positive and negative string training samples. Expand
Focused Crawling Using Context Graphs
TLDR
We present a focused crawling algorithm that builds a model for the context within which topically relevant pages occur on the web, which we call a Context Graph. Expand
ParsCit: an Open-source CRF Reference String Parsing Package
TLDR
We describe ParsCit, a freely available, open-source implementation of a reference string parsing package. Expand
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
TLDR
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Expand
Learning long-term dependencies in NARX recurrent neural networks
TLDR
We show that the long-term dependencies problem is lessened for a class of architectures called nonlinear autoregressive models with exogenous (NARX) recurrent neural networks, which have powerful representational capabilities. Expand
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