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ECCV
2004
Springer
16 years 8 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 7 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
ISSTA
2004
ACM
15 years 12 months ago
Exploiting purity for atomicity
The notion that certain procedures are atomic is a fundamental correctness property of many multithreaded software systems. A procedure is atomic if for every execution there is a...
Cormac Flanagan, Stephen N. Freund, Shaz Qadeer
ECCV
2010
Springer
15 years 11 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
ISCAS
2003
IEEE
131views Hardware» more  ISCAS 2003»
15 years 11 months ago
Process variation dimension reduction based on SVD
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
Zhuo Li, Xiang Lu, Weiping Shi