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» Resampling methods for input modeling
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122
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JMLR
2010
172views more  JMLR 2010»
14 years 10 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
167
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TASLP
2010
134views more  TASLP 2010»
14 years 10 months ago
Autoregressive Models of Amplitude Modulations in Audio Compression
We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-ter...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...
ECCV
2008
Springer
16 years 5 months ago
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
Li Xu, Jianing Chen, Jiaya Jia
IWVF
2001
Springer
15 years 8 months ago
Head Model Acquisition from Silhouettes
This paper describes a practical system developed for generating 3D models of human heads from silhouettes alone. The input to the system is an image sequence acquired from circula...
Kwan-Yee Kenneth Wong, Paulo R. S. Mendonça...
130
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WER
2000
Springer
15 years 7 months ago
Non-Functional Requirements for Object-Oriented Modeling
Recently, it has been pointed out that the majority of the requirements engineering methods do not take into account non-functional requirements (NFRs) [10][11]. Consequently, we h...
Jaime de Melo Sabat Neto, Julio Cesar Sampaio do P...