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» Experiments with a New Boosting Algorithm
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NIPS
2003
15 years 7 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer
CLEIEJ
1998
57views more  CLEIEJ 1998»
15 years 6 months ago
User-Level Parallel File I/O
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. Parallel disk systems provide a significant boost in I/O performance reducing ...
Ernst L. Leiss, Yili Wang
SAC
2008
ACM
15 years 5 months ago
A self-balancing striping scheme for NAND-flash storage systems
To use multiple memory banks in parallel is a nature approach to boost the performance of flash-memory storage systems. However, realistic data-access localities unevenly load eac...
Yu-Bin Chang, Li-Pin Chang
ACCV
2010
Springer
15 years 1 months ago
Human Pose Estimation Using Exemplars and Part Based Refinement
In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and a...
Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shiho...
TSP
2010
15 years 1 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...