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IDA
2002
Springer
14 years 9 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CVPR
2004
IEEE
15 years 11 months ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
ICIP
2008
IEEE
15 years 11 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa
DAC
2009
ACM
15 years 10 months ago
Evaluating design trade-offs in customizable processors
The short time-to-market window for embedded systems demands automation of design methodologies for customizable processors. Recent research advances in this direction have mostly...
Unmesh D. Bordoloi, Huynh Phung Huynh, Samarjit Ch...
ECOOP
2009
Springer
15 years 10 months ago
Scaling CFL-Reachability-Based Points-To Analysis Using Context-Sensitive Must-Not-Alias Analysis
Pointer analyses derived from a Context-Free-Language (CFL) reachability formulation achieve very high precision, but they do not scale well to compute the points-to solution for a...
Guoqing Xu, Atanas Rountev, Manu Sridharan