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TSP
2008
151views more  TSP 2008»
15 years 1 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
111
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UIST
2009
ACM
15 years 8 months ago
Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines
Because functional near-infrared spectroscopy (fNIRS) eases many of the restrictions of other brain sensors, it has potential to open up new possibilities for HCI research. From o...
Erin Treacy Solovey, Audrey Girouard, Krysta Chaun...
SIGMOD
2010
ACM
217views Database» more  SIGMOD 2010»
15 years 6 months ago
Mining knowledge from databases: an information network analysis approach
Most people consider a database is merely a data repository that supports data storage and retrieval. Actually, a database contains rich, inter-related, multi-typed data and infor...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
COGSCI
2002
99views more  COGSCI 2002»
15 years 1 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
COLING
2008
15 years 3 months ago
Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time
We generalize Uno and Yagiura's algorithm for finding all common intervals of two permutations to the setting of two sequences with many-to-many alignment links across the tw...
Hao Zhang, Daniel Gildea, David Chiang