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161
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ICML
2008
IEEE
16 years 8 months ago
Random classification noise defeats all convex potential boosters
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
Philip M. Long, Rocco A. Servedio
213
Voted
ISBI
2004
IEEE
16 years 8 months ago
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Phillip Mlsna, Nikolay Sirakov
195
Voted
WWW
2008
ACM
16 years 8 months ago
Enhanced hierarchical classification via isotonic smoothing
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Kunal Punera, Joydeep Ghosh
216
Voted
EWSN
2006
Springer
16 years 6 months ago
On the Scalability of Routing Integrated Time Synchronization
Time synchronization is a crucial component of a large class of sensor network applications, traditionally implemented as a standalone middleware service that provides a virtual gl...
János Sallai, Branislav Kusy, Ákos L...
CVPR
2010
IEEE
16 years 3 months ago
Online Multiclass LPBoost
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...