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» An Approach to Improving Existing Measurement Frameworks
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ICIP
2003
IEEE
15 years 11 months ago
Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance
This paper introduces a supervised discriminant Hausdorff distance that fits into the framework for automatic face analysis and recognition proposed in [1]. Our proposal relies so...
Albert Pujol, Antonio M. López, José...
IPSN
2007
Springer
15 years 3 months ago
Improving wireless simulation through noise modeling
We propose modeling environmental noise in order to efficiently and accurately simulate wireless packet delivery. We measure noise traces in many different environments and propo...
HyungJune Lee, Alberto Cerpa, Philip Levis
ECCV
2008
Springer
15 years 11 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
IPPS
2008
IEEE
15 years 4 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
ACL
2009
14 years 7 months ago
Discovering the Discriminative Views: Measuring Term Weights for Sentiment Analysis
This paper describes an approach to utilizing term weights for sentiment analysis tasks and shows how various term weighting schemes improve the performance of sentiment analysis ...
Jungi Kim, Jinji Li, Jong-Hyeok Lee