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ICASSP
2009
IEEE
15 years 11 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
SIGGRAPH
2010
ACM
15 years 9 months ago
Spatial relationship preserving character motion adaptation
This paper presents a new method for editing and retargeting motions that involve close interactions between body parts of single or multiple articulated characters, such as danci...
Edmond S. L. Ho, Taku Komura, Chiew-Lan Tai
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
15 years 10 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
CIKM
2008
Springer
15 years 6 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 8 months ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...