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ICASSP
2011
IEEE
14 years 10 months ago
Improving head-related impulse response measured in noisy environments with spatio-temporal frequency analysis
A new noise reduction method based on spatio-temporal frequency analysis is proposed that can be applied to head-related impulse response (HRIR), which is an impulse response betw...
Takanori Nishino, Kazuya Takeda
CVPR
2006
IEEE
16 years 8 months ago
Measurement integration under inconsistency for robust tracking
The solutions to many vision problems involve integrating measurements from multiple sources. Most existing methods rely on a hidden assumption, i.e., these measurements are consi...
Gang Hua, Ying Wu
ISCAS
2008
IEEE
124views Hardware» more  ISCAS 2008»
16 years 17 days ago
Musical beat tracking via Kalman filtering and noisy measurements selection
— We study the problem of automatic musical beat tracking from acoustic data, i.e., finding locations of beats of a music piece by computers on-the-fly, in this work. An online...
Yu Shiu, C. C. Jay Kuo
WEBI
2009
Springer
15 years 10 months ago
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Shouyuan Chen, Minlie Huang, Zhiyong Lu
ICANN
2011
Springer
14 years 9 months ago
Bias of Importance Measures for Multi-valued Attributes and Solutions
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
Houtao Deng, George C. Runger, Eugene Tuv