Sciweavers

548 search results - page 48 / 110
» On the Limitations of Power Macromodeling Techniques
Sort
View
ECCV
2008
Springer
16 years 1 months ago
Keypoint Signatures for Fast Learning and Recognition
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...
Michael Calonder, Vincent Lepetit, Pascal Fua
ISCAS
2008
IEEE
125views Hardware» more  ISCAS 2008»
15 years 5 months ago
Ultra-low-power UWB for sensor network applications
— Long distance, low data-rate UWB communication for sensor network applications requires a highly energy efficient transceiver combined with circuit and system-level optimizati...
Patrick P. Mercier, Denis C. Daly, Manish Bhardwaj...
ISBI
2006
IEEE
15 years 5 months ago
x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging
For high quality MR imaging of time-varying objects such as beating heart or brain hemodynamics, we need to reduce signal acquisition time without sacrificing the spatial resolut...
Jinhee Kim, Jong Chul Ye, Jaehung Yoo
CSREASAM
2006
15 years 20 days ago
A Visual Environment for Characterization of State Changes in Computer Systems
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...

Publication
203views
14 years 11 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...