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NIPS
2007
13 years 10 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
DDECS
2007
IEEE
175views Hardware» more  DDECS 2007»
14 years 3 months ago
Analyzing Test and Repair Times for 2D Integrated Memory Built-in Test and Repair
—An efficient on-chip infrastructure for memory test and repair is crucial to enhance yield and availability of SoCs. A commonly used repair strategy is to equip memories with sp...
Philipp Öhler, Sybille Hellebrand, Hans-Joach...
COMPGEOM
2006
ACM
14 years 27 days ago
I/O-efficient batched union-find and its applications to terrain analysis
Despite extensive study over the last four decades and numerous applications, no I/O-efficient algorithm is known for the union-find problem. In this paper we present an I/O-effic...
Pankaj K. Agarwal, Lars Arge, Ke Yi
VRST
2003
ACM
14 years 2 months ago
Time-critical collision detection using an average-case approach
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
Jan Klein, Gabriel Zachmann
PAMI
2008
152views more  PAMI 2008»
13 years 9 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet