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ECCV
2010
Springer
15 years 9 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
ECCV
2010
Springer
15 years 4 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer
150
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ICPR
2002
IEEE
16 years 4 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
DAC
2007
ACM
16 years 4 months ago
PV-PPV: Parameter Variability Aware, Automatically Extracted, Nonlinear Time-Shifted Oscillator Macromodels
Abstract-- The PPV is a robust phase domain macromodel for oscillators. It has been proven to predict oscillators' responses correctly under small signal perturbations, and ca...
Zhichun Wang, Xiaolue Lai, Jaijeet S. Roychowdhury
DAC
2006
ACM
16 years 4 months ago
Timing driven power gating
Power Gating is effective for reducing leakage power. Previously, a Distributed Sleep Transistor Network (DSTN) was proposed to reduce the sleep transistor area by connecting all ...
De-Shiuan Chiou, Shih-Hsin Chen, Shih-Chieh Chang,...