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» Multiagent learning using a variable learning rate
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CVPR
2009
IEEE
16 years 9 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 6 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...
123
Voted
NLE
2007
148views more  NLE 2007»
15 years 2 months ago
Abbreviated text input using language modeling
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by ta...
Stuart M. Shieber, Rani Nelken
130
Voted
ICON
2007
IEEE
15 years 9 months ago
An Approximate Analysis of the Balance among Performance, Utilization and Power Estimation of Server Systems by Use of the Batch
- In this paper we analyze the performance, utilization, and power estimation of server systems by both adopting the batch service and adjusting the batch size. In addition to redu...
Ying-Wen Bai, Yung-Sen Cheng, Cheng-Hung Tsai
144
Voted
ACL
2006
15 years 4 months ago
Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
Hua Wu, Haifeng Wang, Zhan-yi Liu