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PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
15 years 1 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
119
Voted
TIT
2011
102views more  TIT 2011»
14 years 10 months ago
Sequence Families With Low Correlation Derived From Multiplicative and Additive Characters
For integer r satisfying 0 ≤ r ≤ p − 2, a sequence family Ωr of polyphase sequences of prime period p, size (p − 2)pr , and maximum correlation at most 2 + (r + 1) √ p...
Kai-Uwe Schmidt
129
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Horror video scene recognition via Multiple-Instance learning
Along with the ever-growing Web comes the proliferation of objectionable content, such as pornography, violence, horror information, etc. Horror videos, whose threat to childrens ...
Jianchao Wang, Bing Li, Weiming Hu, Ou Wu
133
Voted
TON
2012
13 years 5 months ago
Opportunistic Spectrum Access in Multiple-Primary-User Environments Under the Packet Collision Constraint
—Cognitive Radio (CR) technology has great potential to alleviate spectrum scarcity in wireless communications. It allows secondary users (SUs) to opportunistically access spectr...
Eric Jung, Xin Liu
109
Voted
ECCV
1994
Springer
16 years 5 months ago
Canonic Representations for the Geometries of Multiple Projective Views
We show how a special decomposition of a set of two or three general projection matrices, called canonic enables us to build geometric descriptions for a system of cameras which a...
Quang-Tuan Luong, Thierry Viéville