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CVPR
2008
IEEE
15 years 11 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
13 years 4 days ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
MOBISYS
2011
ACM
14 years 16 days ago
TagSense: a smartphone-based approach to automatic image tagging
Mobile phones are becoming the convergent platform for personal sensing, computing, and communication. This paper attempts to exploit this convergence towards the problem of autom...
Chuan Qin, Xuan Bao, Romit Roy Choudhury, Srihari ...
GIS
2004
ACM
15 years 10 months ago
Road extraction from motion cues in aerial video
Aerial video provides strong cues for automatic road extraction that are not available in static aerial images. Using stabilized (or geo-referenced) video data, capturing the dist...
Robert Pless, David Jurgens
DCOSS
2011
Springer
13 years 9 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun