We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
We present an area and delay estimator in the context of a compiler that takes in high level signal and image processing applications described in MATLAB and performs automatic de...
Anshuman Nayak, Malay Haldar, Alok N. Choudhary, P...
The impact of using phrases as content representation for documents and for queries has generally been accepted as a desirable feature in information retrieval systems because phr...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...