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» Incorporating Test Inputs into Learning
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TNN
2008
138views more  TNN 2008»
14 years 9 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
ACL
2012
13 years 2 days ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
MHCI
2007
Springer
15 years 3 months ago
Effective learn-quiz generation for handheld devices
In this demonstration, we present a system that enables users to easily generate quizzes for mobile devices. With our program, they can create multiple choice tests and general qu...
Wolfgang Hürst, Sabine Jung, Martina Welte
CVPR
2005
IEEE
15 years 11 months ago
Video Epitomes
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...
Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
88
Voted
CVPR
2007
IEEE
15 years 11 months ago
Human Detection via Classification on Riemannian Manifolds
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
Oncel Tuzel, Fatih Porikli, Peter Meer