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» The digital divide of computing
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CVPR
2012
IEEE
13 years 7 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
DIGITALCITIES
2003
Springer
15 years 9 months ago
Activities and Technologies in Digital City Kyoto
We have developed a digital city for Kyoto, the old capital and cultural center of Japan, as a social information infrastructure for urban everyday life including shopping, busines...
Toru Ishida
150
Voted
CHI
2006
ACM
16 years 4 months ago
Interacting with communication appliances: an evaluation of two computer vision-based selection techniques
Communication appliances, intended for home settings, require intuitive forms of interaction. Computer vision offers a potential solution, but is not yet sufficiently accurate.As ...
Jacob Eisenstein, Wendy E. Mackay
BIOSYSTEMS
2008
77views more  BIOSYSTEMS 2008»
15 years 4 months ago
A computational model of chemotaxis-based cell aggregation
We present a computational model that successfully captures the cell behaviors that play important roles in 2-D cell aggregation. A virtual cell in our model is designed as an ind...
Manolya Eyiyurekli, Prakash Manley, Peter I. Lelke...
MOC
1998
93views more  MOC 1998»
15 years 4 months ago
Computing ray class groups, conductors and discriminants
We use the algorithmic computation of exact sequences of Abelian groups to compute the complete structure of (ZK /m)∗ for an ideal m of a number field K, as well as ray class gr...
Henri Cohen, Francisco Diaz y Diaz, Michel Olivier