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CVPR
2005
IEEE
16 years 5 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
123
Voted
ICPR
2004
IEEE
16 years 4 months ago
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data
The Generalized Local Discriminant Bases (GLDB) algorithm proposed by Kumar, Ghosh and Crawford in [4], is a effective feature extraction method for spectral data. It identifies g...
Pavel Paclík, Robert P. W. Duin, Serguei Ve...
123
Voted
CHI
2007
ACM
16 years 4 months ago
Usability of voting systems: baseline data for paper, punch cards, and lever machines
In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly ...
Michael D. Byrne, Kristen K. Greene, Sarah P. Ever...
133
Voted
CHI
2006
ACM
16 years 4 months ago
Putting people in their place: an anonymous and privacy-sensitive approach to collecting sensed data in location-based applicati
The emergence of location-based computing promises new and compelling applications, but raises very real privacy risks. Existing approaches to privacy generally treat people as th...
Karen P. Tang, Pedram Keyani, James Fogarty, Jason...
133
Voted
HICSS
2009
IEEE
209views Biometrics» more  HICSS 2009»
15 years 10 months ago
SIDD: A Framework for Detecting Sensitive Data Exfiltration by an Insider Attack
Detecting and mitigating insider threat is a critical element in the overall information protection strategy. By successfully implementing tactics to detect this threat, organizat...
Yali Liu, Cherita L. Corbett, Ken Chiang, Rennie A...