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ECCV
2010
Springer
15 years 6 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 6 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
MCS
2009
Springer
15 years 6 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
126
Voted
DATE
1999
IEEE
147views Hardware» more  DATE 1999»
15 years 5 months ago
Efficient BIST Hardware Insertion with Low Test Application Time for Synthesized Data Paths
In this paper, new and efficient BIST methodology and BIST hardware insertion algorithms are presented for RTL data paths obtained from high level synthesis. The methodology is ba...
Nicola Nicolici, Bashir M. Al-Hashimi
STACS
1999
Springer
15 years 5 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann