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ACL
2012
13 years 3 months 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...
IJON
2008
168views more  IJON 2008»
15 years 25 days ago
Spatial relationship representation for visual object searching
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...
Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Xilin...
100
Voted
COSIT
1997
Springer
80views GIS» more  COSIT 1997»
15 years 5 months ago
Spatial Representation for Pragmatic Navigation
As described here, pragmatic navigation attempts to harness simple facts about a two-dimensional environment to facilitate travel through it without an explicit map. It relies upo...
Susan L. Epstein
150
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore
77
Voted
AAAI
2004
15 years 2 months ago
An Instance-Based State Representation for Network Repair
We describe a formal framework for diagnosis and repair problems that shares elements of the well known partially observable MDP and cost-sensitive classification models. Our cost...
Michael L. Littman, Nishkam Ravi, Eitan Fenson, Ri...