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SODA
2010
ACM
176views Algorithms» more  SODA 2010»
16 years 4 months ago
Self-improving Algorithms for Convex Hulls
We describe an algorithm for computing planar convex hulls in the self-improving model: given a sequence I1, I2, . . . of planar n-point sets, the upper convex hull conv(I) of eac...
Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri
SIGECOM
2000
ACM
116views ECommerce» more  SIGECOM 2000»
15 years 11 months ago
Privacy-preserving global customization
d Abstract) Robert M. Arlein Ben Jai Markus Jakobsson Fabian Monrose Michael K. Reiter Information Sciences Research Center Bell Labs, Lucent Technologies Murray Hill, NJ, USA We ...
Robert M. Arlein, Ben Jai, Markus Jakobsson, Fabia...
191
Voted
CVPR
2004
IEEE
16 years 9 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
INFOCOM
2006
IEEE
16 years 27 days ago
Self-Learning Collision Avoidance for Wireless Networks
— The limited number of orthogonal channels and the autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSS’s) op...
Chun-cheng Chen, Eunsoo Seo, Hwangnam Kim, Haiyun ...
201
Voted
JMLR
2006
132views more  JMLR 2006»
15 years 6 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof