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ICASSP
2011
IEEE
14 years 6 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 5 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»
15 years 9 months 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 7 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 6 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