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» Recognizing Unnecessary Inference
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CVPR
2009
IEEE
15 years 2 months ago
Rank Priors for Continuous Non-Linear Dimensionality Reduction
Non-linear dimensionality reductionmethods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly ...
Andreas Geiger (Karlsruhe Institute of Technology)...
ICCV
2007
IEEE
14 years 9 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
ICDAR
2009
IEEE
14 years 2 months ago
2D CAD Data Mining Based on Spatial Relation
In this research, we propose CAD data mining technique to obtain semantic elements without prior knowledge about plans being designed. Our method consists of two steps. The first ...
Hiroaki Kizu, Junko Yamamoto, Takeshi Takeda, Keij...
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
14 years 2 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
ACSAC
2006
IEEE
14 years 1 months ago
Using Attribute-Based Access Control to Enable Attribute-Based Messaging
Attribute Based Messaging (ABM) enables message senders to dynamically create a list of recipients based on their attributes as inferred from an enterprise database. Such targeted...
Rakeshbabu Bobba, Omid Fatemieh, Fariba Khan, Carl...